CoMSES Net Job RSShttps://www.comses.net/jobs/2024-03-15T18:36:55.918426+00:00New jobs posted on comses.netSeeking PhD student for White-tailed Deer integrated population modeling2024-03-15T18:36:55.071760+00:002024-03-15T18:36:55.918426+00:00abelsare/users/1853/https://www.comses.net/jobs/625/<p>We are seeking a PhD student to join our team of researchers at Auburn University’s College of Forestry, Wildlife and Environment. We are partnering with the Alabama Department of Conservation and Natural Resources (ADCNR) to develop a modeling, monitoring, and decision-analysis framework for improving deer population management throughout the state of Alabama. The student will be responsible for:</p>
<ol>
<li>Developing and evaluating integrated population modeling approaches to improve deer population estimates by incorporating supplemental data sources (e.g., citizen science data or roadkill reports) with traditional data sources (e.g., game check data and hunter surveys);</li>
<li>Comparing agent-based and matrix-based models for assessing population changes;</li>
<li>Designing decision scenarios and assessing the the tradeoffs of alternative modeling approaches for making informed decisions under these scenarios;</li>
<li>Developing a decision support tool for ADCNR to inform deer management at local and state-wide scales.</li>
</ol>
<p>In a nutshell, we are looking to develop creative, ecologically sound, and scientifically defensible approaches for quantifying deer distributions, population dynamics, and management objectives. The student will be co-advised by Dr. Jonathon Valente (<a href="https://www1.usgs.gov/coopunits/staff/480646">https://www1.usgs.gov/coopunits/staff/480646</a>) and Dr. Aniruddha Belsare (<a href="https://cfwe.auburn.edu/profile/aniruddha-belsare/">https://cfwe.auburn.edu/profile/aniruddha-belsare/</a>). The position is fully funded for up to 5 years, including a ~$30,000 annual stipend, tuition waiver, and subsidized health insurance. The student will be free to develop their own dissertation within the scope of the project, and under the agreement that they will meet the primary objectives outlined above and in the project proposal. Ideally, the student will begin in the fall semester (August 2024) but start dates may be flexible for the appropriate candidate. Prospective candidates should be highly motivated, interested in developing computer-based modeling skills, and have a strong background in ecology, biology, zoology, wildlife, population modeling, or a related field.</p>
<p>Required qualifications<br>
• MS degree in Wildlife, Biology, Ecology, Zoology, Statistics, or another closely related field<br>
• Strong communication skills in oral and written English<br>
• Ability to work independently and as part of an interdisciplinary team<br>
• Self-motivation, a positive attitude, and strong interpersonal skills</p>
<p>Desired qualifications<br>
• Experience presenting and publishing peer-reviewed research<br>
• Experience working with government agencies<br>
• Experience with population modeling, species distribution modeling, Bayesian data analysis, GIS software, and the R statistical programming language</p>
<p>To apply, email BOTH Dr. Jonathon Valente (jjv0016@auburn.edu) and Dr. Aniruddha Belsare (avb0033@auburn.edu) with the subject line “Deer Population PhD.” Combine the following into a single PDF and attach it to your email: (1) a cover letter that states why you are interested in and qualified for the position; (2) a CV; (3) unofficial transcripts; (4) contact information for 3 references; and (5) TOFEL scores if applicable. Applications will be evaluated on a rolling basis and continue until suitable candidates are found. Please feel free to email Dr. Valente or Dr. Belsare with any specific questions in the meantime. More information about our graduate program can be found here: <a href="https://cfwe.auburn.edu/graduate-study/graduate-degrees/">https://cfwe.auburn.edu/graduate-study/graduate-degrees/</a></p>Multiple positions at LMU Munich2024-02-28T19:10:38.041559+00:002024-02-28T19:10:38.419549+00:00rshukla1202/users/4200/https://www.comses.net/jobs/624/<p>LMU Munich is seeking to fill several exciting positions around Earth system modeling and land use. See here (or below) for further details and <a href="https://www.geographie.uni-muenchen.de/department/fiona_eng/department/geographie/index.html">https://www.geographie.uni-muenchen.de/department/fiona_eng/department/geographie/index.html</a> for general information on our group. </p>
<p>Postdoc positions (up to 6 years) - scientific researcher for ecosystem-climate interactions:<br>
<a href="https://job-portal.lmu.de/jobposting/d81ba3e3509c37cd93e7510ae4da2f2ee393a388">https://job-portal.lmu.de/jobposting/d81ba3e3509c37cd93e7510ae4da2f2ee393a388</a></p>
<p>Model-data-integration (for two years with option for permanent position):<br>
<a href="https://job-portal.lmu.de/jobposting/baa74d2c0220de9b732c5c7b3d4f8a2ffff1ef600">https://job-portal.lmu.de/jobposting/baa74d2c0220de9b732c5c7b3d4f8a2ffff1ef600</a></p>
<p>PhD position (as part of the Land-Atmosphere Feedback Initiative; deadline soon):<br>
<a href="https://job-portal.lmu.de/jobposting/bfeddb35fb1650c55baf85efd13147d7b2e5a8dd">https://job-portal.lmu.de/jobposting/bfeddb35fb1650c55baf85efd13147d7b2e5a8dd</a></p>
<p>The positions will stay open until filled.</p>
<p>Thanks a lot in advance for your support in passing this on to suitable candidates!</p>
<p>Best,<br>
Julia</p>
<p>ABOUT US:</p>
<p>Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching. The Chair for Physical Geography and Land Use Systems (Prof. Julia Pongratz) at LMU’s Department of Geography investigates the interactions between ecosystems and climate, and how these are altered by the anthropogenic use of land. Our group develops and applies the latest generation of land-use emission, vegetation and Earth system models and integrates them with observational data. Key research questions are the fate of ecosystems under the pressures of land-use and climate change, Earth system feedbacks via energy, water and biogeochemical cycles, and the role of vegetation and soils for greenhouse gas emissions reduction and CO2 removals in support of the Paris Agreement. The team is strongly involved in large national and international collaborations such as the Global Carbon Project, CMIP, IPCC, CDRterra, Horizon Europe projects and the national Earth System Modeling Strategy (natESM) [1].<br>
[1] <a href="https://www.globalcarbonproject.org/">https://www.globalcarbonproject.org/</a> - <a href="https://www.wcrp-climate.org/wgcm-cmip">https://www.wcrp-climate.org/wgcm-cmip</a> - <a href="https://www.ipcc.ch/assessment-report/ar6/">https://www.ipcc.ch/assessment-report/ar6/</a> - <a href="https://cdrterra.de/en">https://cdrterra.de/en</a> - <a href="https://www.nat-esm.de/">https://www.nat-esm.de/</a></p>
<p>We have several positions available:</p>
<p>Scientific researcher (m/f/x) for ecosystem-climate interactions <br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>The scientific researcher is expected to conduct innovative research. Possible research topics include own model simulations and integration with Earth observations to understand the ecosystem response to future land-use change and assess feedbacks with the changing climate; further developments in our land-use emission model BLUE towards a terrestrial carbon cycle model; and contribution to an interdisciplinary assessment of carbon dioxide removal methods. It is not necessary (or expected) that the applicant works on all these topics. Instead, it is intended that one of them should become a main focus area for the applicant; priorities will depend on the interests of the applicant, the development of the research field and success in related research proposals by the working group. <br>
In all cases, tasks will be to<br>
· advance the field of ecosystem-climate interactions and ecosystem modeling<br>
· contribute to a better understanding of ecosystem-climate interactions and/or provide research results that are relevant for decision-making in support of sustainable land use and climate neutrality<br>
· collaborate with other members of our group and other research institutions, with the option to co-supervise Bachelor, Master and Ph.D. students<br>
· take a leading role in the development of scientific publications<br>
· contribute to scientific outreach activities<br>
YOUR QUALIFICATIONS:</p>
<p>· a PhD in a natural or physical science subject (geography, environmental science, ecology, physics or similar)<br>
· good programming skills (such as python or R)<br>
· excellent communication skills in English (our working language), proven also by scientific publications<br>
· Training or experience in Earth system or carbon cycle modeling is advantageous, but not essential.</p>
<p>BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of Earth system science <br>
· E13 TV-L position, commensurate with work experience, for three years starting May 2024 or soon thereafter, with the possibility to extend to a maximum of six years, based on performance, and to acquire a postdoctoral lecturer qualification (“Habilitation”). In the latter case, a contribution to teaching in the study programs of the Department of Geography is expected.<br>
· career development through the LMU qualification program</p>
<p>· a stimulating working environment at one of Germany’s top-ranked universities. Our institute is located in the centre of the vibrant and internationally diverse city of Munich with excellent public transportation links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5 MB including all documents) with subject “SciRes-2024LMU” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is March 18, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de).</p>
<p>Scientific programmer (m/f/x) for model-data integration<br>
(for two years with option for permanent position)<br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>Models are our main tool to project how ecosystems and climate evolve. But a key driver – the vast usage of land through agriculture, forestry and urbanization – is still lacking substantial detail in these models. This impairs our fundamental understanding of the interactions of humans, land, and climate, and is also critical as models are increasingly guiding political decision-making on land-use and climate to limit global warming. You can contribute to building the next generation of climate models, working at the intersection of numerical modeling, high-performance computing, and large-scale data analysis. You will contribute to strategic decision-making as well as to concrete design and implementation of land-use processes in our models. You will work closely with the other researchers in our group, and with external partners, e.g., in natESM, to align the group’s developments with the national and international modeling landscape. While the focus will adjust over the years with the development of the research field and success in related research proposals by our working group, it currently lies on the Earth system model ICON-ESM and its land component JSBACH4 as well as the land-use emission model BLUE, which integrates a range of Earth observational data.<br>
Further tasks will be to</p>
<p>· support team members in model development and setup of simulations, and convey good scientific programming skills to the team members<br>
· contribute to scientific publications and scientific outreach activities<br>
· contribute to writing proposals that advance the field of Earth system and ecosystem modeling<br>
· do some teaching in the study programs of the Department of Geography<br>
YOUR QUALIFICATIONS:</p>
<p>· a strong interest in climate and sustainability science<br>
· a PhD in a natural or mathematical science subject (computer sciences, geography, mathematics or similar)<br>
· very good programming skills, ability to work on high-performance computing systems and with large datasets<br>
· excellent communication skills in English (our working language), proven also by scientific publications<br>
· high communicative skills, high independence and proven ability to structure complex processes and efficiently finish tasks<br>
BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of Earth system science <br>
· Initially E13 TV-L position, commensurate with work experience, for two years starting June 2024 or soon thereafter. If the candidate’s performance is satisfying it is intended to make the position permanent. A change to civil servant status (A13) is possible under certain conditions, a later promotion up to A14 is feasible. <br>
· career development through the LMU qualification program<br>
· a stimulating working environment at one of Germany’s top-ranked universities. Our institute is located in the centre of the vibrant and internationally diverse city of Munich with excellent public transportation links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5 MB including all documents) with subject “ModDat-2024LMU” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is March 27, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de).</p>
<p>Doctoral researcher (m/f/x) assessing scale questions in land-atmosphere modeling <br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>The doctoral researcher will be part of the Land-Atmosphere Feedback Initiative (LAFI, see below), a new Research Unit funded by the German Research Foundation (DFG). At LMU we will address scale interactions with the overall aim to substantially improve our understanding of land-atmosphere exchange concerning the question how relevant it is to resolve land-surface heterogeneity that is not resolved in global Earth system models, despite these models’ application to rather small-scale problems like impacts of land-use decisions on regional climate. We will draw on high-resolution large-eddy modeling with ICON to bridge these scales. The doctoral researcher will<br>
· evaluate and improve an advanved land surface model in atmospheric simulations at hectometer scale<br>
· run and evaluate this model for Central European sites, in collaboration with observational partners and complementary land modeling approaches in LAFI, and test various ways of representing land heterogeneity<br>
· take a leading role in the development of scientific publications on water, energy and carbon fluxes comparing large-eddy and Earth system model output<br>
YOUR QUALIFICATIONS:</p>
<p>· a MSc in a natural or physical science subject (geography, meteorology, physics or similar),<br>
· good programming skills (such as fortran, python),<br>
· excellent communication skills in English (our working language)<br>
· Training or experience in atmosphere, vegetation or climate modeling is advantageous, but not essential. </p>
<p>BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of climate science. <br>
· A 75% E13 TV-L position, commensurate with work experience, for four years starting April 2024 or soon thereafter,<br>
· career development through the LMU qualification program,<br>
· a stimulating working environment at one of Germany’s top-ranked universities, in the vibrant and internationally diverse city of Munich. Our institute is located in the centre of Munich with excellent public transport links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5MB only including all documents) with subject “LAFI-2024” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is February 28, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de) or Prof. Dr. Mirjana Sakradzija (m.sakradzija@lmu.de).</p>
<p>ABOUT THE LAFI PROJECT:</p>
<p>The quality of weather forecasts, seasonal simulations, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks, which this initiative will address.</p>
<p>The Land-Atmosphere Feedback Initiative (LAFI) is an interdisciplinary consortium, led by the University of Hohenheim, of researchers from atmospheric, agricultural, and soil sciences as well as from bio-geo-physics, hydrology, and neuroinformatics proposing a novel combination of advanced research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km) scales across diurnal to seasonal time scales.</p>
<p>For all positions: Handicapped persons with comparable qualifications receive preferential status. We encourage female candidates to apply.</p>Postdoc Modeling Open Source Software Communities2024-02-08T23:29:54.225651+00:002024-02-08T23:29:54.367085+00:00marcojanssen/users/4/https://www.comses.net/jobs/623/<p>POSITION DESCRIPTION<br>
We are looking to recruit a postdoctoral scholar for a two-year position in an interdisciplinary NSF-funded research project (#2020751). A premise of the work is that open source software (OSS) communities are model systems for subjects including self-governing institutions, social networks, organization theory, and collective action. Data include complete longitudinal records of code and all internal communications for hundreds of autonomous organizations. Major methodological opportunities are at some intersections of network science, longitudinal data, machine learning, NLP and LLM, and computational modeling.</p>
<p>We are seeking candidates representing interdisciplinary computational social science, or a computer/information scientist interested in speaking to general audiences. The scholar will work within an interdisciplinary team representing political science, computer science, anthropology, computational social science, policy analysis, and OSS practitioners at UC Davis, UMass Amherst, University of Washington, and in the not-for-profit sector. The position is based in Davis, CA.</p>
<p>The scholar will be coming into the project in year 3 of 5 or 6, and will have substantial freedom to creatively bring together tools, datasets, and theories from the initial phase of this project toward questions with general appeal. Their duties may include:</p>
<p>Theory and hypotheses building with a cross-disciplinary, multi-campus team;<br>
Quantitative analysis, both creating entire analysis pipelines and advising faculty and graduate students on theirs;<br>
Collaborative paper and project report writing;<br>
Coordination of UMass and UC Davis teams’ work, and coordination with peer postdoctoral research associate at UMass Amherst;<br>
Mentoring of graduate and undergraduate RAs from both computer and social sciences; or<br>
Contributing to the OSS ecosystem.<br>
The postdoc may also ask about opportunities to engage in elective opportunities related to industry engagement, grant writing, open source software community development, or teaching.</p>
<p>The successful application will have substantial experience in quantitative data analysis and some combination of programming, data science, computational statistics, and machine learning. They will be able to demonstrate a track record of both independent initiative and effective teamwork. They will be interested in being able to communicate across engineering, practice, and the social sciences. They will likely be interested in representing system-level outcomes in terms of individual-level behavior, and systems thinking or complex systems generally. Less important than domain expertise in software engineering research, OSS, or online communities is an interest in their potential for advancing social science generally.</p>
<p>The position will remain open until filled, starting likely in Summer or Fall 2024. We will begin reviewing applications March 1, 2024. Potential applications should feel comfortable contacting sethfrey@ucdavis.edu directly for questions about the call, including its current status. A reasonable estimate for this position is $64,480 - $69,342.</p>
<p>Submit application materials to: <a href="https://recruit.ucdavis.edu/JPF06297">https://recruit.ucdavis.edu/JPF06297</a></p>
<p>QUALIFICATIONS<br>
Basic qualifications (required at time of application)<br>
PhD required. Degree in hand at the time of appointment (applications from students close to completing their degrees considered).</p>
<p>APPLICATION REQUIREMENTS<br>
Document requirements<br>
Cover Letter</p>
<p>Curriculum Vitae - Your most recently updated C.V.</p>
<p>Link to a past project or your programming portfolio (e.g.Zenodo/OSF/GitHub/etc.) - Please submit a document with a link to a past project or your portfolio (e.g. Zenodo/OSF/GitHub/etc.)</p>
<p>Writing Sample - article, dissertation chapters, etc.</p>
<p>Writing Sample 2 - Optional second submission<br>
(Optional)</p>
<p>Statement of Contributions to Diversity, Equity, and Inclusion - Contributions to diversity, equity, and inclusion documented in the application file will be used to evaluate applicants. Visit <a href="https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion">https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion</a> for guidelines about writing a statement and why one is requested.</p>
<p>Reference requirements<br>
3-5 required (contact information only)<br>
Apply link: <a href="https://recruit.ucdavis.edu/JPF06297">https://recruit.ucdavis.edu/JPF06297</a><br>
Help contact: sethfrey@ucdavis.edu</p>PhD opening at TU Delft - understanding the dynamics of interdependent infrastructure systems2024-01-31T19:21:51.119099+00:002024-01-31T19:21:51.371163+00:00rshukla1202/users/4200/https://www.comses.net/jobs/622/<p>Delft University of Technology is looking for a PhD candidate with a strong quantitative background; please see the description below. The deadline for applications is 28 February 2024, see details here: <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=5491&nPostingTargetId=16085&">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=5491&nPostingTargetId=16085&</a> . For further questions, please email Dr. Omar Kammouh (in cc).</p>
<p>PhD position on understanding the dynamics of interdependent infrastructure systems<br>
Infrastructure systems (such as the distribution and transmission grids for electricity, transport systems, and water distribution networks) are the backbone of societies, playing an essential role in supporting our daily activities. These infrastructure systems are highly complex, large-scale socio-technical systems spanning many temporal, spatial, and organizational scales. They are embedded in, intertwined with, and co-dependent on many different social systems.</p>
<p>Due to systemic challenges facing the infrastructure systems, for example, the energy transition, climate change, or demographic and technological changes, there is an increased focus on understanding the dynamics of coupled infrastructure systems. With the rising complexity of infrastructure systems, their vulnerability to hazards, including those stemming from climate change and energy transitions, increases.</p>
<p>Decision-makers responsible for the long-term planning and improving the resilience of integrated infrastructure systems rely on the existing and increasingly outdated approaches, which are unable to deal with the deep uncertainty these systems face. Therefore, we need new innovative (AI/ML-based) planning and development methods to evaluate and improve the resilience of our infrastructure so that we can effectively respond to the continuously changing (physical and social) environment. For these innovative methods to be developed, a deep understanding of integrated infrastructure systems dynamics is essential, which is a significant scientific challenge.</p>
<p>This Ph.D. position focuses on the conceptualization and modeling of integrated infrastructure systems. We seek to answer questions such as: What are the unique properties and traits of infrastructure systems that contribute to their interdependence? How can we characterize the interactions between infrastructure systems? What are suitable (multi-)modeling approaches to model these interactions? and what is the most relevant resolution and scale to capture these dynamics?</p>
<p>This Ph.D. position in what can be termed “Complex Systems Analysis and Modelling” provides a unique opportunity to contribute to a critical and transformative field that emphasizes the resilience of our communities and vital infrastructure systems. As a part of our highly multidisciplinary team, your research will be instrumental in advancing our understanding of complex infrastructure systems dynamics and help develop new conceptual and modeling foundations for further impactful research.</p>Funded PhD in A Hybrid Simulation Approach for Planning a Sustainable Model of Personalised Home Care (Department of Management Science, University of Strathclyde)2024-01-31T09:45:58.788131+00:002024-01-31T09:45:59.382690+00:00itamarmeg/users/2192/https://www.comses.net/jobs/621/<p>This PhD is an exciting opportunity to develop and use cutting-edge systems simulation modelling in tackling the complex challenges in health and social care. The focus of this project is on understanding how personalised, technology-facilitated home care can efficiently meet the current and future demands of health and social care for older adults. Systems simulation modelling has lacked a coherent theory for incorporating health-related behaviour—an aspect crucial to addressing this topic. The student undertaking this research will not only contribute to improving practices in personalised, technology-facilitated home care but will also advance the theory and methodology of systems modelling. Their work involves developing hybrid systems models, informed by behavioural theory, and integrating methods of System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling. The work is situated in the Department of Management Science at Strathclyde Business School with support from the Psychological Sciences Department.</p>
<p>Background<br>
The escalating number of older adults receiving home-based care presents and ongoing challenge for the UK Health and Social Care system. Despite efforts to reshape home care delivery, a sustainable and personalise model remains elusive. The prevailing time-and-task commissioning model, favoured for its political security, has led to fragmented services and limited understanding of older adults’ needs. This dominant model emphasizes in-home service provision, neglecting a holistic approach to support independent living and lacks focus on long-term cost measurement or outcomes assessment.</p>
<p>Providers, grappling with complex commissioning processes and strained social care budgets, face instability in the market. Localised innovations, though sporadic, lack consistent efforts for widespread enhancement, with evidence-sharing and scaling of successful strategies remaining scant. The absence of data on impact, implementation costs, efficiency improvements, financial savings, and outcomes for service users further hinders progress.</p>
<p>Home care provision spans diverse interconnected domains, such as health, social care, housing, financing, workforce, and technology. Evaluating the effectiveness and cost-effectiveness of home care models requires a holistic understanding of the entire health and social care system. Deploying models without insight into potential outcomes and unexpected effects can lead to substantial costs. Addressing the complexity of personalized, technology-facilitated home care demands an innovative approach.</p>
<p>Aim<br>
The focus of this project is to comprehend how personalized, technology-facilitated home care can efficiently meet the health and social care demands of older adults in Scotland. The student will pioneer a hybrid simulation approach, integrating health behaviour theories to construct models and simulations. This method, combining System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling, has successfully tackled complex health and social care problems.</p>
<p>In addition to undertaking cutting-edge research, students are also registered for the Postgraduate Certificate in Researcher Development (PGCert), which is a supplementary qualification that develops a student’s skills, networks, and career prospects.</p>Lecturer (Assistant prof) in Management Science (including systems simulation), University of Strathclyde2024-01-29T09:19:27.805349+00:002024-01-29T09:19:30.538518+00:00itamarmeg/users/2192/https://www.comses.net/jobs/620/<p>Apply through this Strathclyde University formal post: <a href="https://strathvacancies.engageats.co.uk/Vacancies/W/3525/0/417682/15019/lecturer-in-management-science-589734">https://strathvacancies.engageats.co.uk/Vacancies/W/3525/0/417682/15019/lecturer-in-management-science-589734</a> </p>
<p>Salary: £45,585 - £56,021 <br>
FTE: 1 (35 Hours/week)<br>
Term: Open Contract <br>
Closing Date: 4 March 2024 </p>
<p>Who we are</p>
<p>We are the University of Strathclyde. Our vision is innovative and ground-breaking, placing us amongst the world’s leading international technological universities. We are vibrant, dynamic and passionate about solving the challenges faced by the society and industry through our cutting-edge, multi-disciplinary research, education and knowledge-exchange with global partners.</p>
<p>Be collaborative. Be innovative. Be a ‘Strathclyder’.</p>
<p>Our department</p>
<p>The Department of Management Science has a vibrant intellectual culture, and our academic staff have a strong record of both publication and generating funding through research and knowledge exchange activities. Our teaching portfolio includes an undergraduate principal subject in the Strathclyde Business School as well as our MSc in Data Analytics, MSc Business Analysis and Consulting, and an MSc in Health Analytics, Policy and Management.</p>
<p>We are looking for candidates in all areas of Management Science and Operational Research but are particularly interested in candidates who offer research and teaching expertise in areas such as:</p>
<p>· Health Analytics and Policy,</p>
<p>· Risk Analysis and Uncertainty Modelling,</p>
<p>· Optimisation,</p>
<p>· Simulation,</p>
<p>· Problem Structuring Methods.</p>
<p>The opportunity</p>
<p>We would love to hear from you if you have a PhD; an emerging publication pipeline in high quality academic journals; an interest in translating research into practice; a desire to deliver an excellent student experience; and research interests which align with our areas of strategic priority.</p>
<p>In keeping with our commitment to equality and diversity, we encourage applications from all sections of the community, particularly those who can support our Athena SWAN activity, which inspires the advancement and representation of women in higher education. For more information on diversity and inclusion at Strathclyde, please see here: <a href="https://www.strath.ac.uk/media/ps/sees/equality/EDI_Policy_Final_Feb_2021.pdf">https://www.strath.ac.uk/media/ps/sees/equality/EDI_Policy_Final_Feb_2021.pdf</a></p>
<p>You’ll be rewarded with:</p>
<p>· Growth of your research portfolio</p>
<p>· Reduced teaching load and limited administrative duties over the first years.</p>
<p>· Support through our academic career development framework to gain feedback on your performance, meet your training needs and enhance your effectiveness.</p>
<p>· Mentoring, to help you establish a balance of research, teaching, knowledge exchange and citizenship responsibilities while enhancing your leadership qualities to support your long-term career.</p>
<p>Informal enquiries about the post can be directed to Prof Matthew Revie, Head of Department (matthew.j.revie@strath.ac.uk). </p>
<p>Formal interviews for this post will be held on Thursday, 21 March 2024.</p>Junior Professorship for Modeling of Social-Ecological Systems with a Focus on Forests - University of Freiburg (Germany)2024-01-04T09:48:00.834139+00:002024-01-04T09:48:00.999123+00:00birgit.mueller.ufz/users/665/https://www.comses.net/jobs/619/<p>The University of Freiburg invites applications for the</p>
<p>Junior Professorship for Modeling of Social-Ecological Systems<br>
with a Focus on Forests<br>
at the Faculty of Environment and Natural Resources.</p>
<ul>
<li>Application deadline: 11.02.2024</li>
<li>Start-date: At the earliest possible date</li>
<li>Fulltime position</li>
<li>Id no.: 3504<br>
This is a grade W1-professorship to which performance payments can be offered.<br>
This professorship is suitable for highly qualified early career researchers at an early stage in<br>
their careers. Conditions governing the appointment in accordance with section 51 (3) LHG<br>
apply.<br>
The necessary short to medium-term adaptation of forests and forestry to global change is<br>
an enormous challenge for society due to the diverse ecosystem services provided by<br>
forests. Solution scenarios need to be developed and the option space for management and<br>
governance needs to be mapped out following a systemic perspective on the basis of social<br>
science concepts and focusing on social-ecological modeling of sustainable forest use under<br>
the conditions of global and regional change. This includes the development of innovative<br>
theories and interdisciplinary methods for data collection and analysis.<br>
The successful candidate is expected:</li>
<li>to have a relevant PhD-thesis and post-doc experience in the field of qualitative and<br>
quantitative modeling of complex, adaptive social-ecological systems, if possible on the<br>
basis of social science concepts<br>
-to have comprehensive knowledge of methods of system analysis of social-ecological<br>
systems and innovative interdisciplinary methods for data collection and analysis,<br>
documented through publications and teaching experience</li>
<li>to develop a junior research group as a methodological competence center for the<br>
modeling of forest/environment-human systems in Central Europe within the faculty and<br>
in association with other research institutions; funding for two researchers<br>
(100 % each) for 6 years can already be guaranteed and is part of the package</li>
<li>to cooperate with existing or developing joint research projects at the faculty, in particular<br>
participation in the Cluster of Excellence initiative »Future Forests« and possible<br>
follow-up projects</li>
<li>to lecture on methods of social-ecological modeling and innovative interdisciplinary data<br>
collection and analysis to the extent of 4 SWS; after a successful mid-term evaluation, it<br>
will be 6 SWS</li>
<li>to have documented experience of working together in interdisciplinary teams,<br>
supervising students and acquiring third-party funded projects</li>
<li>to have very good command of English, good command of German<br>
Place of work is Freiburg im Breisgau. Prerequisites for the employment are a university<br>
degree, an outstanding PhD-thesis and an excellent publication record. This position is a<br>
fixed term of four years. After a successful mid-term evaluation, it will be extended by two<br>
years.<br>
The following application documents are to be submitted:</li>
<li>Curriculum vitae</li>
<li>Certificates of degrees and academic qualifications</li>
<li>Complete list of papers and talks with specification of the three most important<br>
publications</li>
<li>Research concept for the development of the junior research group (1–2 pages)</li>
<li>Teaching concept (1–2 pages)<br>
We are particularly pleased to receive applications from women for the position advertised<br>
here.</li>
</ul>
<p>Application<br>
Please send your application including supporting documents mentioned above and<br>
the application form citing the reference number 3504, by 11.02.2024 at the latest. Please<br>
send your application to the following address in written or electronic form:<br>
Prof. Dr. Heiner Schanz<br>
Dean of the Faculty of Environment and Natural Resources<br>
Tennenbacher Str. 4<br>
D-79106 Freiburg<br>
Applications by email (all documents in one PDF document) to dekanat@unr.uni<a href="http://-freiburg.de">-freiburg.de</a>.<br>
For further information, please contact Andreas Friedrich on the phone number<br>
+49 761 203-3603 or E-Mail andreas.friedrich@unr.uni<a href="http://-freiburg.de">-freiburg.de</a>.<br>
Further information on the appointment procedure can be found in the Code for Practice for<br>
professorial appointments (in German).<br>
Advertisement in the online job portal of the University of Freiburg:<br>
<a href="https://uni-freiburg.de/university/jobs/00003504/">https://uni-freiburg.de/university/jobs/00003504/</a></p>Postdoc fellow on ABM & Networks, University of Milano-Bicocca (Bicocca) and the University of Milan (Unimi), 20 months2023-12-21T14:10:02.340407+00:002023-12-21T14:10:02.566923+00:00flaminio1970/users/529/https://www.comses.net/jobs/618/<p>The postdoc will join the ConsNet project, a study of conspiracy beliefs, their social network determinants, and how they impact health behaviors and outcomes in Italy (PI: Raffaele Vacca, Unimi; Co-PI: Viviana Amati, Bicocca). More information about ConsNet is here.</p>
<p>The position will be based at the Bicocca Department of Statistics and Quantitative Methods and will be part of the Behave Lab in the Unimi Department of Social and Political Sciences (<a href="https://behavelab.org/">https://behavelab.org/</a>).</p>
<p>The postdoc will collaborate with other ConsNet team members in the following main task areas:</p>
<p>Design of a national survey on conspiracy beliefs, personal networks, and health.<br>
Pre-processing and analysis of survey and personal network data.<br>
Development of statistical and agent-based models to analyze network data (egocentric and sociocentric), simulate whole networks, model conspiracy beliefs and health outcomes.<br>
Important job information:</p>
<p>Location: Milano, Italy<br>
Office: BehaveLab (<a href="https://behavelab.org/">https://behavelab.org/</a>)<br>
Expected salary range: € 2,300-2,500/month (after tax)<br>
Expected start date: March 1, 2024<br>
Duration: 20 months<br>
Relevant candidate expertise and interests: social network analysis, network science, survey data, agent-based modeling, R/Python<br>
PhD in Statistics, Social Sciences or related fields preferred but not required at start date</p>Assistant Professor of Instruction in Computational Social Science (Teaching-Track)2023-12-10T17:20:44.812952+00:002023-12-10T17:21:00.663438+00:00srmonteiro/users/4477/https://www.comses.net/jobs/617/<p>Deadline: Review Begins January 15th, 2024 and will continue until the position is filled</p>
<p>The Department of Political Science at Northwestern University seeks applications for a full-time, teaching-track Assistant Professor of Instruction in Computational Social Science to begin on September 1, 2024.</p>
<p>Excellent candidates for this position exhibit a strong record and potential for building leading-edge courses, curriculum, and programs that help undergraduates, graduate students, and colleagues across substantive areas of political science to connect with relevant techniques and methodological ideas. We are especially keen to seek a new colleague who can expand our research, teaching, and advising with intensive statistical knowledge, programming skills, and awareness of data science norms and practices.</p>
<p>The successful candidate will teach a combination of graduate and undergraduate courses, as well as participate in departmental activities and service. The standard teaching load is six courses annually, which can include the two-week, pre-semester intensive on Statistical and Computational Research methods. Course releases in exchange for specific service roles may be available. Ph.D. or equivalent terminal degree is required; however, ABD applicants who anticipate completion of the doctorate by Fall 2024 will be considered. The ideal candidate will bridge between the Political Science department and the broader computational social science and data sciences communities at Northwestern, helping establish connections with other campus activities such as the Center for Diversity and Democracy (CSDD), the Institute for Sustainability and Energy at Northwestern (ISEN), the Institute for Policy Research (IPR), the Global Poverty Research Lab, the Weinberg College Center for International and Area Studies, the Buffett Institute for Global Affairs, the Northwestern Institute of Complex System (NICO), Sociology, Psychology, Computer Science, Statistics and Data Science, the School of Education and Social Policy, the School of Communication, Kellogg School of Management, among others.</p>
<p>Applications should include a cover letter, current CV, writing sample, research statement, teaching statement, evidence of teaching effectiveness, diversity statement, and three letters of recommendation. In addition to narrating publications and manuscripts in progress, the research statement should describe the candidate’s computational contributions to the scholarly community (programs, R libraries, repositories, etc.) and provide links to such materials.</p>
<p>Consideration of files will begin on January 15th and will continue until the position is filled. All applications received by January 15th will be given priority.</p>
<p>YOU MAY APPLY HERE: <a href="HTTPS://FACULTYRECRUITING.NORTHWESTERN.EDU/APPLY/MTK2NA==">HTTPS://FACULTYRECRUITING.NORTHWESTERN.EDU/APPLY/MTK2NA==</a></p>
<p>Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today. Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Click for information on EEO is the Law.</p>
<p>For inquiries about the job advertisement or application, please reach out to Stephen Monteiro, Business Administrator in the Department of Political Science, by email: stephen.monteiro@northwestern.edu</p>Post-Doc in Agricultural Technology Adoption at University of Illinois2023-11-29T20:36:14.046879+00:002023-11-29T20:36:14.319437+00:00rshukla1202/users/4200/https://www.comses.net/jobs/616/<p>We seek a postdoctoral research associate to conduct innovative interdisciplinary research examining the incentives for spatially and behaviorally heterogeneous farmers to adopt novel, AI-based, precision farming technologies for site-specific input application and its implications for farm profitability and the environment. The research will integrate information about technology attributes with spatially varying biophysical characteristics of the landscape and heterogeneous farmer characteristics to develop optimal crop management strategies at the parcel and landscape levels. Primary responsibilities will include developing one or more of the following tools to conduct this research: spatial optimization models, conducting and analyzing a discrete choice experiment, building an economic model of technology adoption, and an agent-based model that integrates biophysical models characterizing field conditions with a model of landowner decision-making.</p>
<p>The successful candidate will work directly with the project’s PI, Dr. Madhu Khanna, in the Department of Agricultural and Consumer Economics, University of Illinois, Urbana- Champaign.</p>
<p>Qualifications: Candidates must have a PhD in economics, agricultural and resource economics, engineering economics, computational economics, or a related field such as computer science with economic applications.</p>
<p>Experience in computational methods, spatial optimization modeling, survey –based choice experiments, discrete-choice modeling and agent-based modeling that links economic decision making with biophysical models, and excellent written and oral communication skills and an interest in working with interdisciplinary researchers on topics related to emerging precision technologies will be among the selection criteria. Funding is available to start immediately for appointment on an annual basis with the potential for annual renewal for two to three years based on satisfactory performance. The position will be open until it is filled and the start date is negotiable.</p>
<p>For full consideration please apply by January 4, 2024.</p>
<p>To apply, email the following items to Amy Rosenbery (husted@illinois.edu) with the subject POSTDOC: (i) a cover letter explaining how your experience qualifies you and why you are interested in the position; (ii) your CV including PhD degree date; (iii) names and contact information for three (3) professional references; and (iv) a professional writing sample that illustrates the required/desired qualifications for the position. If you have experience developing and contributing programming codes and/or other related resources to CRAN, GitHub or another online data or software repository, please include this information in your CV or other application materials.</p>
<p>Proof of doctoral degree is required to begin employment. The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.</p>
<p>The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit <a href="http://go.illinois.edu/EEO">http://go.illinois.edu/EEO</a>. To learn more about the University’s commitment to diversity, please visit <a href="http://www.inclusiveillinois.illinois.edu">http://www.inclusiveillinois.illinois.edu</a></p>Postdoctoral Scientist - human adaptation, human perceptions, environmental change, quantitative and qualitative social science – Idaho2023-11-15T01:29:33.399315+00:002023-11-15T05:24:58.991980+00:00akliskey/users/552/https://www.comses.net/jobs/615/<p>The Center for Resilient Communities at the University of Idaho invites applications for a Post Doctoral Scientist for interdisciplinary research related to human adaptation to, and perceptions of, climate change. The successful candidate will work as part of an interdisciplinary team of social, environmental, and computational scientists, and stakeholders. The successful candidate will be part of a National Science Foundation funded 4-year project focused on Local and Place Based Adaptation to Climate Change in Underserved Rural Communities working with a collaborative team from Idaho, Nevada, and South Carolina.</p>
<p>Requirements include a PhD degree (already received, or having completed all requirements and awaiting graduation) in computational social science, human behavior and perceptions, or a similar interdisciplinary area (e.g., computer science, geography, social-ecological science, sociology). The successful candidate should have expertise in quantitative and qualitative social science, behavioral or perception geography, and social-ecological systems concepts. Candidates should have the ability to work both independently and as part of a large research team. Experience or an interest in working with stakeholders would be helpful, and some experience with computational approaches is desirable. Publications on human perceptions, human behavioral geography, social-ecological systems, and/or environmental change are a plus. </p>
<p>The position is based in Moscow, Idaho with visits to Nevada and South Carolina to collaborate with team members. The position is available starting immediately, applications will be accepted until the position is filled.</p>
<p>For more information or to submit an application please contact:<br>
Liz Rousseau,<br>
Program Coordinator<br>
Center for Resilient Communities<br>
University of Idaho<br>
Email: erousseau@uidaho.edu<br>
Phone: 208-885-7448<br>
URL: <a href="http://www.uidaho.edu/crc">www.uidaho.edu/crc</a></p>
<p>Applications must include a cover letter describing your interest in this position and why you are qualified for the position, your current curriculum vitae, the names of three academic references, and a copy of your academic transcripts.</p>Graduate position (MS/PhD) Chronic wasting disease modeling2023-11-03T13:42:25.361061+00:002023-11-03T13:42:25.841719+00:00abelsare/users/1853/https://www.comses.net/jobs/614/<p>The Belsare Lab at Auburn University College of Forestry, Wildlife and Environment is seeking an outstanding PhD or MS student beginning Spring 2024. The student’s project will focus on applied epidemiological research using an agent-based modeling framework (OvCWD). Results from this project will inform management recommendations regarding chronic wasting disease (CWD) surveillance and control strategies. The ideal candidate will have a desire to learn and develop analytical and writing skills. If interested, please email Dr. Aniruddha Belsare (abelsare@auburn.edu) with subject line CWD modeling and attach the following: a brief cover letter (< 1page); CV, unofficial university transcripts, and contact information for three references. Consideration of applications will begin immediately.<br>
In the cover letter, please emphasize why you are interested in this position specifically. I am also open to chatting about the topics above or potential projects related to other areas of my research program.</p>
<h3 id="required-qualifications">Required Qualifications</h3>
<p>A bachelor’s degree/MS in Wildlife Science, Conservation, Range Management, Ecology, or similar field; GPA minimum 3.00; effective communication skills with diverse populations and collaborators; strong work ethic and ability to work independently and contribute to a team setting.</p>
<h3 id="preferred-skills">Preferred Skills</h3>
<p>Preferred skills and past experiences are not required for consideration. Prior experience with publication or presentation of research; familiarity with R.<br>
Applicants that will be the most competitive for this position will have experience (and willingness to learn more) with R/NetLogo, quantitative skills (e.g., mechanistic modeling, statistics).</p>
<h3 id="start-date-preferably-enroll-by-january-2024-later-start-may-be-possible">Start Date: Preferably enroll by January 2024; later start may be possible</h3>
<h3 id="location-auburn-al">Location: Auburn, AL.</h3>
<h3 id="graduate-stipend-ms-20000-phd-25000-and-tuition-waiver-included">Graduate stipend: MS $20,000, PhD $25,000 and tuition waiver included.</h3>Post-Doc: Agri-Robot Fleet Coordination2023-10-18T17:46:20.820162+00:002023-10-18T17:46:21.004037+00:00rshukla1202/users/4200/https://www.comses.net/jobs/613/<p>The Research Centre CETINIA (<a href="https://en.cetinia.es/">https://en.cetinia.es/</a>) at the University Rey Juan Carlos in Madrid, Spain. This role is within the Research Project “AGROBOTS”, led by Dr. Marin Lujak, in collaboration with academic partners from Spain, Italy, France, and the UK. Our research focuses on distributed coordination and optimization methods for agricultural robot fleet coordination and simulation.</p>
<p>The work should start as soon as possible, initially for one year with possible extensions.</p>
<p>Requirements: Ph.D. in Computer Engineering or a related field. Strong academic background in optimization, simulation and mobile robotics. Proficiency in Python, ROS, Unity. Good written and spoken English. Work permit for Spain.</p>
<p>To apply, please email your motivation letter, CV, two recommendation letters and relevant publications to [marin dot lujak at urjc dot es ]. We welcome any questions you may have.</p>
<p>Applications are reviewed continuously. </p>Postdoctoral Research Associate at West Central Research, Extension and Education Center (WCREEC), University of Nebraska-Lincoln2023-10-12T06:17:25.481227+00:002023-10-12T06:21:19.758584+00:00alee/users/3/https://www.comses.net/jobs/612/<h1 id="postdoctoral-research-associate-crop-soil-groundwater-process-model-integration-for-irrigation-and-nitrogen-management-studies">Postdoctoral Research Associate: Crop-Soil-Groundwater Process Model Integration for Irrigation and Nitrogen Management Studies</h1>
<p>We are seeking a motivated and qualified Postdoctoral Researcher to join our team in a research project focused on the Integration of crop models with the 3D unsaturated and saturated zone water and solute transport model to analyze the impact of deficit irrigation and nitrogen management strategies on crops, soil, and groundwater. The crop models used for integration will be the existing process-based models for corn and soybean. This position offers an opportunity to work on cutting-edge research in agricultural modeling and sustainable resource management. Key responsibilities include collaborating with a multidisciplinary team for model integration, analyzing field data related to crop growth and development, conducting model evaluations, performing comprehensive modeling studies, preparing research reports and publications, and collaborating with other researchers. Qualifications include a Ph.D. in Soil-Crop-Groundwater Modeling, Groundwater Hydrology, Soil Science, Agricultural Engineering, Water Resources, Environmental Engineering, or a related field (required); expertise in source code development/modification of soil, groundwater, or crop models; a background in soil, groundwater, and crop modeling; proficiency in modeling software; expertise in FORTRAN and C++; data analysis experience; communication skills; and the ability to work both independently and as part of a research team.</p>
<h2 id="position-overview">Position Overview</h2>
<p>We are seeking a motivated and qualified Postdoctoral Researcher to join our team in a research project focused on the Integration of crop models with the 3D unsaturated and saturated zone water and solute transport model to analyze the impact of deficit irrigation and nitrogen management strategies on crops, soil, and groundwater. The crop models used for integration will be the existing process-based models for corn and soybean. This position offers an opportunity to work on cutting-edge research in agricultural modeling and sustainable resource management.</p>
<h2 id="key-responsibilities">Key Responsibilities</h2>
<ol>
<li>Model Integration: Collaborate with a multidisciplinary team to integrate process-based crop models with the 3D unsaturated and saturated zone model ensuring seamless interaction between the models.</li>
<li>Data Analysis: Analyze relevant field data related to crop growth and development, yield, water, crop nitrogen uptake, and nitrogen dynamics in the soil and groundwater for different irrigation and nitrogen application scenarios.</li>
<li>Model Evaluation: Evaluate the integrated model using measured data to ensure accuracy and reliability in simulating real-world scenarios.</li>
<li>Simulation and Analysis: Conduct comprehensive modeling studies using the integrated model to assess the effects of deficit irrigation and nitrogen management strategies on crop growth, development, yield, and the dynamics of water and nitrogen in the soil and groundwater. This includes long-term studies, assessments over larger spatial scales, including watershed-scale assessments, analyzing the impact of climate variability, and examining various management strategies to minimize environmental impacts and maximize yield.</li>
<li>Report and Publication: Prepare research reports, manuscripts, and presentations for conferences and scientific journals to disseminate research findings.</li>
<li>Collaboration: Collaborate with other researchers and provide guidance and expertise in the domain of crop-soil continuum interactions.</li>
</ol>
<h2 id="qualifications">Qualifications</h2>
<ul>
<li>Ph.D. in Soil-Crop-Groundwater Modeling, Groundwater Hydrology, Soil Science, Agricultural Engineering, Water Resources, Environmental Engineering, or a related field (required).</li>
<li>Expertise in source code development/modification of soil, groundwater, or crop models.</li>
<li>Background in soil, groundwater, and crop modeling, including modeling techniques and proficiency in modeling software such as MODFLOW and crop modeling tools.</li>
<li>Expertise in FORTRAN and C++ is highly advantageous.</li>
<li>Experience with data analysis and interpretation.</li>
<li>Written and verbal communication skills.</li>
<li>Ability to work independently and as part of a research team.</li>
</ul>
<h2 id="application-process">Application Process</h2>
<p>Interested candidates are encouraged to apply by submitting the following documents:</p>
<ul>
<li>A cover letter outlining the interest and qualifications for the position.</li>
<li>A curriculum vitae/resume.</li>
<li>Contact information for two professional references.</li>
<li>Samples of publications or relevant research work (if available).</li>
</ul>
<p>Applications will be reviewed on an ongoing basis until the position is filled. We welcome applications from diverse candidates who can contribute to our research program. For inquiries or to submit your application, please contact</p>
<p>Prof. Abia Katimbo<br>
Assistant Professor and Irrigation Management Specialist<br>
Abia Katimbo | BSE | Nebraska (<a href="http://unl.edu">unl.edu</a>)<br>
abia.katimbo@unl.edu</p>Post-Doc: Research Fellow in Disaster Risk Analysis and Communication2023-09-29T01:15:49.449775+00:002023-09-29T01:15:50.106687+00:00rshukla1202/users/4200/https://www.comses.net/jobs/611/<p>Centre for Decision Research, Leeds University Business School, UK</p>
<p>Level: Post-doc<br>
Location: Leeds, United Kingdom</p>
<p>About the role <br>
An exciting opportunity has arisen for a researcher to help shape international research on weather risk perception and communication to improve the communication of weather warnings to public audiences in across different countries as part of the Lloyds Register Foundation funded project: Analysing Risk Perception and Preparedness to Develop Effective Disaster Risk Communication Strategies. </p>
<p>Running for three years the project will conduct a large-scale secondary data analysis of data from the 2019, 2021 and 2023 World Risk Polls to better understand weather risk perception and preparedness across countries, and use this to develop and test weather risk communication strategies in different focal countries. </p>
<p>The post will be based with the Centre for Decision Research at Leeds University Business School. With the guidance and support of the project PI (Dr Andrea Taylor) and CO-I’s (Dr Sarah Jenkins, Prof Barbara Summers, Prof Suraje Dessai and Dr Yim Ling Siu) the post holder will undertake a multi-level analysis of data from the world risk polls. They will work with other members of the research team to use the findings of this analysis to develop and test weather risk communication strategies with large samples in a series of 4-5 focal countries recruited through market research companies. </p>
<p>The Centre for Decision Research was founded in 1996 and has grown into a leading research centre, covering analytical and psychological aspects of decision making. Our research builds on basic and applied approaches to understand and support real-world decisions. The Centre hosts regular research meetings and seminars that are attended by researchers from across the university. The Centre additionally maintains active international interdisciplinary research collaborations. Information about the Centre for Decision Research can be found on its homepage: <a href="https://cdr.leeds.ac.uk/">https://cdr.leeds.ac.uk/</a> </p>
<p>Application Instructions<br>
Visit the Instats jobs page to apply.</p>Assistant / Associate Research Scientist at Arizona State University's School of Complex Adaptive Systems2023-09-09T18:35:35.725338+00:002023-09-09T18:35:36.402769+00:00alee/users/3/https://www.comses.net/jobs/610/<p>The School of Complex Adaptive Systems is a founding institution within the newly formed College of Global Futures, ASU’s center of experiential learning, engaged research, and real-world problem-solving dedicated to the present and future well-being of our planet. We currently have an opening for a social or ecological scientist, with expertise in scientific modeling, to work with an interdisciplinary team to design, develop, refine, and apply cyberinfrastructure that supports computational models of the complex interactions and dynamics in social-ecological systems.</p>
<p>We build research software, web applications and science gateways that support:</p>
<ul>
<li>computational modeling, data analysis and visualization of complex human and earth systems (<a href="https://comses.net">https://comses.net</a>)</li>
<li>novel computational social science research in collective action via controlled digital experiments (<a href="https://portofmars.asu.edu">https://portofmars.asu.edu</a>)</li>
<li>standards and best practices for open science and FAIR (Findable, Accessible, Interoperable, and Reusable) research software (<a href="https://openmodelingfoundation.org">https://openmodelingfoundation.org</a>)</li>
</ul>
<p>Our mission is to help our diverse, interdisciplinary researchers explore and advance their research questions with effective, maintainable, and extensible research software that evolves alongside our scientific understanding of the complex adaptive systems we all share.</p>
<h2 id="department-statement">DEPARTMENT STATEMENT</h2>
<p>The College of Global Futures leadership, faculty, and staff embrace ASU’s mission as being a comprehensive public research university, measured not by whom it excludes, but rather by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.</p>
<p>At ASU and the College of Global Futures, we work to maximize opportunities for people of diverse backgrounds, abilities and perspectives. We value and encourage cultural and intellectual diversity, and strive to foster a welcoming and inclusive environment for all faculty, staff and students — which we believe is critical to our success as a community. All individuals who can strengthen the diversity of our academic community are encouraged to apply, and will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis protected by law.</p>
<p>The ideal candidate should have demonstrated expertise in computational modeling and simulation, data analysis and visualization, fluency in Python, Julia, R, or equivalent languages, and experience in a relevant field, e.g., ecology, earth and environmental science, economics, hydrology, geographical sciences, geophysics, computer science and informatics.</p>
<p>We are less concerned with how well you know a specific technology right now and place more value on the ability to adapt to and become fluent in new technologies within a supportive team. We appreciate diverse viewpoints and mindsets and are committed to recruiting and retaining staff, students, and faculty from groups that have historically been underrepresented in the sciences.</p>
<p>This is a full-time, benefits-eligible Research Scientist (assistant and associate ranks considered) position with an anticipated start in Q4 2023 (October - December). The appointment is non-tenure track and will be made at the rank of Assistant Research Scientist or Associate Research Scientist, commensurate with the candidate’s experience and accomplishments. This appointment is for one fiscal year and subsequent years are contingent upon satisfactory performance, availability of resources, and the needs of the school. Our research group has a solid track record of achieving successful grant awards to sustain our operations and we expect the ideal candidate to make substantive contributions to future grant proposals that provide for the continued longevity of this position.</p>
<h2 id="essential-duties">ESSENTIAL DUTIES</h2>
<ul>
<li>Work with a small, focused, and diverse research software engineering team rotating across different projects to design, develop, and maintain appropriate computational models for funded projects with time and resource constraints in mind</li>
<li>Collaborate with interdisciplinary team members to identify research questions, design experiments, and interpret results</li>
<li>Participate in the design, development, and maintenance of software tools for data management, processing, and analysis</li>
<li>Prepare reports, manuscripts, and presentations to communicate research findings to academic and non-academic audiences</li>
<li>Contribute to grant proposals</li>
<li>Mentor and supervise students and junior researchers</li>
<li>Support an interdisciplinary, international team effort to improve computational science practices</li>
<li>Be a respectful communicator and collaborator</li>
</ul>
<h2 id="minimum-qualifications">MINIMUM QUALIFICATIONS</h2>
<h3 id="assistant-research-scientist">Assistant Research Scientist</h3>
<p>Bachelor’s degree AND four years of experience with computational modeling and analysis of social ecological systems OR any equivalent combination of education and/or experience from which comparable knowledge, skills, and abilities have been achieved with respect to computational modeling, statistical inference, data analysis and visualization.</p>
<h3 id="associate-research-scientist">Associate Research Scientist</h3>
<p>In addition to the required qualifications above, the successful candidate at this rank should have a graduate degree (Master’s required, PhD preferred) within a discipline related to computational modeling and analysis of social ecological systems with demonstrated expertise in statistics, data science, and specialization in the social and ecological sciences. This includes evidence of scholarship and a demonstrated record of computational modeling competence of social and ecological sciences (published computational models, journal articles, etc.).</p>
<h2 id="desired-qualifications">DESIRED QUALIFICATIONS</h2>
<p>Ideal candidates will have demonstrated experience in one or more of the skills below:</p>
<ul>
<li>Linux, command line shell, high performance computing environments</li>
<li>Containerization (e.g., Docker, apptainer)</li>
<li>Version control systems (e.g., Git / GitHub)</li>
<li>Geographic information systems and spatial analysis</li>
<li>Fluency in at least one widely used open source programming language common to the social ecological systems modeling community (e.g., Python, Julia, R, NetLogo)</li>
<li>Statistical inference, data analysis and visualization</li>
</ul>
<h2 id="application-instructions">Application Instructions</h2>
<p>Initial deadline for receipt of complete applications is October 1, 2023. Review of complete applications will continue every week thereafter until the search is closed.</p>
<p>To apply, please submit the following electronically as pdf(s)</p>
<ul>
<li>Cover letter</li>
<li>Curriculum vitae</li>
<li>Contact information for at least three potential references</li>
</ul>
<p>Inquiries concerning the search should be addressed to the Chair of the Search Committee: Dr. Michael Barton (michael.barton@asu.edu). Please indicate that you are applying for the ASU School of Complex Adaptive Systems Research Scientist position.</p>Position as a doctoral researcher at Rheinische-Friedrich-Wilhelms-University Bonn, Germany2023-08-28T17:01:20.060444+00:002023-08-28T17:01:20.383154+00:00rshukla1202/users/4200/https://www.comses.net/jobs/609/<p>The Argelander professorship Integrated System Modeling for Sustainability Transitions, chaired by Jun.- Prof. Dr. Wolfram Barfuss at the Rheinische-Friedrich-Wilhelms-University Bonn, Germany, is inviting applications for a Position as a doctoral researcher (f/m/x), (TVL-E13, 65%)</p>
<p>How can people act together to pursue sustainable paths? We reshape human-environment modeling to identify critical leverage points for sustainability transitions. Cooperation at scale is vital for a sustainable future, yet unresolved. Specifically, how can large collectives of intelligent actors, coupled with dynamic environments, seek ways to improve their joint well-being? To move forward with this challenge, we develop mathematical models of collective learning, bridging ideas from complex systems science, multi-agent reinforcement learning, and social-ecological resilience.<br>
We seek a motivated and talented individual to join our young, strongly evolving, interdisciplinary team as a doctoral researcher in modeling human-environment systems. The position is for three years with the possibility of extension.</p>
<p>Your tasks:<br>
• Develop, implement, and analyze mathematical models of human-environment interactions.<br>
• Review scientific literature to identify relevant frameworks, theories, models, and data sources.<br>
• Contribute to the group’s modeling framework for studying human-environment systems.<br>
• Present research findings at conferences, workshops, and other relevant events.<br>
• Prepare and publish high-quality research papers in peer-reviewed journals.<br>
• Contribute to teaching human-environment modeling and the supervision of student projects.<br>
• Obtain a doctoral degree.</p>
<p>Your Profile:<br>
• Master’s degree (or equivalent) in a relevant field such as Sustainability Science, Economics, Computer<br>
Science, Physics, Mathematics, or a related discipline.<br>
• Strong background in quantitative research methods and mathematical modeling.<br>
• Proficiency in scientific computing with Python.<br>
• Willingness to engage in concepts from sustainability science.<br>
• Prior knowledge of reinforcement learning in multi-agent systems is desirable.<br>
• Excellent written and oral communication skills in English.<br>
• Ability to work independently and as part of a team.<br>
• Strong organizational and time management skills.</p>
<p>What we offer:<br>
• Cutting-edge research opportunities in a stimulating and collaborative environment.<br>
• Access to state-of-the-art research facilities and resources.<br>
• Freedom to shape your research project.<br>
• Supportive supervision from experienced researchers.<br>
• Competitive salary and possibility for a contract extension.<br>
• Opportunities for professional development and networking.<br>
• A family-friendly university that promotes diversity and equal opportunities.</p>
<p>Application Process:<br>
Interested candidates are invited to submit their application, including a cover letter, curriculum vitae, academic transcripts, and contact information for two references (they will only be contacted for shortlisted candidates). Please also include a concise research statement outlining your research interests, relevant experience, and motivation for pursuing a doctoral degree in modeling human-environment systems in our group.</p>
<p>The application deadline is 17. Sep. 2023. Applications (compiled into one PDF) should be emailed to<br>
wbarfuss@uni<a href="http://-bonn.de">-bonn.de</a> with the subject line “Doctoral Position Application - Modeling Human Environment Systems”. For further information or to discuss the position, please also contact Jun.-Prof. Dr. Wolfram Barfuss by email: wbarfuss@uni<a href="http://-bonn.de">-bonn.de</a>.</p>
<p>Link to application: <a href="https://wbarfuss.github.io/join/">https://wbarfuss.github.io/join/</a></p>
<p>The University of Bonn is an equal-opportunity employer committed to diversity and inclusion and places particular emphasis on fostering career opportunities for women. We encourage applications from individuals of all backgrounds and experiences. Qualified women are strongly encouraged to apply. The university is a certified family-friendly institution and supports its employees in balancing work and family life.</p>
<p>Join our team and make a difference in contributing to a sustainable future by reshaping human environment modeling! </p>PhD Student or Post-Doctoral Scholar Agent Based Modeling of Least Bell’s Vireo Populations2023-08-26T21:43:06.403881+00:002023-08-26T21:43:07.664002+00:00pzollner/users/3578/https://www.comses.net/jobs/608/<p>Title: Implementation of a complex agent-based model to address the effects of interacting ecological stressors and alternative management strategies on an endangered species</p>
<p>Institution: Purdue University, Department of Forestry and Natural Resources </p>
<p>Location: Purdue University West Lafayette, IN.</p>
<p>Job Category: Post-Doctoral Scholar or PhD Student</p>
<p>Salary: Commensurate with standards for either a post-doctoral scholar or a PhD student in the Department of Forestry and Natural Resources at Purdue University. The position includes benefits typical for whichever position a candidate is hired for at Purdue University.<br>
Duration of Appointment: A post-doctoral scholar will be hired for a minimum of one year and a PhD student for a minimum of three years. The duration of either position is contingent upon completion of ongoing project goals to provide additional funding through 2027.</p>
<p>Start Date: As Soon As Possible for a post-doctoral scholar or January of 2024 for a PhD student. </p>
<p>Project Description: The federally endangered Least Bell’s Vireo (LBVI, Vireo bellii pusillus) nests in narrow riparian areas surrounded by the heavily urbanized matrix of Southern California. Several of the largest remaining patches of LBVI nesting habitat occur on US Department of Defense (DoD) military installations and in US Army Corps of Engineers (USACE) flood control basins. Expenses for ESA compliance related to LBVI are among the highest of all listed bird species, with widespread operational and financial impacts on federal action agencies and military installations. A complex array of threats and stressors interact to threaten LBVI populations, including groundwater extraction, loss of streamflow inputs due to water recycling programs, changing flood and fire regimes, nest parasitism by brown-headed cowbirds (Molothrus ater), and negative impacts to riparian vegetation from invasive non-native plants and insects. One challenge in developing management strategies for recovery is understanding how different stressors may interact, particularly with emerging threats like new invasive species or major changes in disturbance regimes due to climate change. A ~25-minute video describing this project in more detail can be viewed at this link (<a href="https://youtu.be/c0DQPcSk-Qg">https://youtu.be/c0DQPcSk-Qg</a>). The goal of this multi-disciplinary, collaborative research project is to develop an individual/agent-based modeling tool that integrates sub-models reflecting different stressors, and synthesizes those sub-models to understand the relative effectiveness of a range of PI- and stakeholder-generated management scenarios. </p>
<p>Position Description/Project Role: The selected person will be supervised within the lab of Dr. Pat Zollner and will work with project Co-PIs (see below) to develop agent-based submodels for Least Bell’s Vireo breeding biology and Brown-headed Cowbird Parasitism. These bird-focused submodels will interact with other process-based (e.g., vegetation succession) and behavior-based (beetle effects on vegetation) submodels, which are being developed by other team members. The aggregation of all sub-models into RESET will allow us to investigate the effects of interacting stressors on vireo habitat and population dynamics in a complex ecological system where applied ecosystem management is common. The applicant will work throughout the entire model development cycle to design, document, and analyze complex agent-based models for vireos and cowbirds using best ABM practices. The project already has a programmer, a current post-doc in Dr. Zollner’s Lab, who is responsible for implementing all agent-based models in code. Therefore, the role of the new post-doctoral scholar or PhD student will be: 1) to focus on designing and documenting structurally realistic bird-focused models 2) interacting with the research team and stakeholders to design and implement simulation experiments and 3) analyzing outputs of simulation experiments to compare potential vireo responses to alternative management scenarios. Finally, the person we hire will prepare journal articles and reports documenting all of the above. Successful applicants will have the following qualifications:</p>
<p>1) Strong skills with scientific writing and preparing reports. As well the ability to read and synthesize extensive data from published papers and technical reports and synthesize important trends from that material.</p>
<p>2) Experience or familiarity with best practices for documenting Agent Based Modeling research (e.g., ODD & TRACE), as well as a commitment to lead in the application of those principles for vireo and cowbird model development.</p>
<p>3) Ability to collaborate with a post-doctoral scholar who is coding this ABM to provide inputs for parameterization, feedback on model design and testing of beta versions of the model.</p>
<p>4) Ability to effectively communicate with external partners and other interested parties to inform designs of scenarios underlying virtual experiments implemented with ABM.</p>
<p>5) Previous experience or interest in learning how to run agent-based modeling software at scale, so that a complex model with thousands of interacting agents can be run hundreds, if not thousands, of times for different analyses working on a computing cluster and/or using cloud-based resources. </p>
<p>This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling, quantitative wildlife conservation, and adaptive management. The position provides relevant experience for a career trajectory within a government agency or a research career at a university or NGO. The post-doctoral scholar will be supervised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). New team members will communicate and collaborate regularly with the larger project’s full research team, which includes: Dr. Richard Fischer from the US Army Engineer Research and Development Center; Mr. Casey Lott, Conservation Science and Data Visualization, LLC; Dr. Jeffrey Holland Purdue University Department of Entomology; Ms. Melissa Rohde of Rohde Environmental Consulting LLC; and Dr. Kai-Yin Lin, Purdue University Department of Forestry and Natural Resources.</p>
<p>Specific Duties: The person hired will be responsible for communicating the design, development and application of this ABM. This includes writing and revising ODD model descriptions, contributing to TRACE documentation, and interacting with team members, agency biologists, and the broader scientific community via webinars, conference presentations, and scientific papers. They will play a critical role in engaging with stakeholders to design simulation scenario experiments that integrate sub-models related to different stressors to investigate the implications of management activities. They will collaborate with the research team to prepare and submit manuscripts and reports related describing the results of that research. Responsibility for specific tasks will be assigned on a case-by-case basis but this person will work closely with Dr. Kai-Yin Lin who is coding the model and project Co-PIs on all aspects of this project.</p>
<p>How to Apply: Interested applicants should indicate clearly if they are applying for this position as a PhD student or post-doctoral scholar then they should compile all of the following materials into a single pdf file; a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 7 questions (each of these responses should be 250 words or less). <br>
1. Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.<br>
2. Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.<br>
3. What motivates you to pursue this job, and how will participation in this project help you achieve your career goals?<br>
4. Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.<br>
5. What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?<br>
6. Why you would be a good fit to fulfill the roles described above for this specific project?<br>
7. What do you find particularly interesting about agent-based modeling in general and this project in particular?</p>
<p>That single pdf should be attached to an email that has a subject line of “Application for Least Bell’s Vireo ABM Project as a postdoctoral scholar” or “Application for Least Bell’s Vireo ABM Project as a PhD student”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation. Application review will begin as applications are received and continue until a suitable applicant is hired for the position.</p>
<p>Qualifications: Graduate training in wildlife biology, ecological modeling, ornithology, landscape ecology, conservation biology or a related field as well as an interest in Agent Based Modeling and Simulation Modeling to address complex questions in ecological research or applied conservation contexts.</p>
<p>When preparing materials (statement of interest & response to the 7 questions) applicants should explicitly address their scientific writing skills, organizational skills, interest/background in individual/agent-based modeling, quantitative skills, and their ability to work in a team. Applicants should be highly motivated with a documented ability to work independently and collaboratively. The person that we hire should be able to readily interact with partners including government agencies across many levels as well as non-governmental organizations. Applicants with excellent interpersonal skills, experience developing and documenting individual/agent-based models, publishing peer-reviewed journal articles or technical documents, and prior experience with collaborative interdisciplinary projects will be the most competitive. Other skills in quantitative ecology, proficiency in R, familiarity with conservation challenges faced by LBVI, and candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p>Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs in wildlife and ecology. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and community festivals and art events throughout the year.</p>
<p>Contact Persons: Dr. Patrick Zollner <br>
Contact Phones: (765) 496-9495<br>
Contact e-mails: pzollner@purdue.edu</p>
<p>Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.</p>Lecturer (Assistant prof) in Management Science (including systems simulation), University of Strathclyde2023-08-23T13:42:42.964337+00:002023-08-23T13:45:05.144056+00:00itamarmeg/users/2192/https://www.comses.net/jobs/607/<p>We are looking for a lecturer in all areas of Management Science and Operational Research but are particularly interested in candidates who offer research and teaching expertise in areas such as:</p>
<p><strong>Simulation (System dynamics, agent-based modelling, and discrete-event simulation),</strong><br>
Health Analytics and Policy.<br>
Risk Analysis and Uncertainty Modelling,<br>
Optimisation,<br>
Problem Structuring Methods<br>
FTE: 1.0 (35 hours/week)</p>
<p>Term: Open Contract</p>
<p>Closing Date: Monday, 4 September 2023</p>
<p>Be collaborative. Be innovative. Be a ‘Strathclyder’.</p>
<p>We are the University of Strathclyde. Our vision is innovative and ground breaking, placing us amongst the world’s leading international technological universities. We are vibrant, dynamic and passionate about solving the challenges facing society and industry through our cutting-edge, multi-disciplinary research, education and knowledge-exchange with global partners.</p>
<p>Our department</p>
<p>The Department of Management Science has a vibrant intellectual culture and our academic staff have a strong record of both publication and generating funding through research and knowledge exchange activities. Our teaching portfolio includes an undergraduate principal subject in the Strathclyde Business School as well as our MSc in Data Analytics, MSc Business Analysis and Consulting, and an MSc in Health Analytics, Policy and Management.</p>
<p>It is anticipated that formal interviews for this post will be held on Wednesday, 20 September 2023.</p>
<p>Informal enquiries about the post can be directed to Prof Matthew Revie, Head of Department (matthew.j.revie@strath.ac.uk).</p>
<p>To apply: <a href="https://www.jobs.ac.uk/job/DBQ778/lecturer-545585">https://www.jobs.ac.uk/job/DBQ778/lecturer-545585</a></p>Doctoral researcher in human-environment modeling (University of Bonn, Germany)2023-08-23T09:27:45.938642+00:002023-08-23T09:27:46.541848+00:00wbarfuss/users/4162/https://www.comses.net/jobs/606/<p>The Argelander professorship Integrated System Modeling for Sustainability Transitions, chaired by Jun.-Prof. Dr. Wolfram Barfuss at the Rheinische-Friedrich-Wilhelms-University Bonn, Germany, is inviting applications for a </p>
<p><strong>Position as a doctoral researcher (f/m/x), (TVL-E13, 65%)</strong></p>
<p>How can people act together to pursue sustainable paths? We reshape human-environment modeling to identify critical leverage points for sustainability transitions. Cooperation at scale is vital for a sustainable future, yet unresolved. Specifically, how can large collectives of intelligent actors, coupled with dynamic environments, seek ways to improve their joint well-being? To move forward with this challenge, we develop mathematical models of collective learning, bridging ideas from complex systems science, multi-agent reinforcement learning, and social-ecological resilience. </p>
<p>We seek a motivated and talented individual to join our young, strongly evolving, interdisciplinary team as a doctoral researcher in modeling human-environment systems. The position is for three years with the possibility of extension. </p>
<p><strong>Your tasks</strong>: <br>
* Develop, implement, and analyze mathematical models of human-environment interactions.<br>
* Review scientific literature to identify relevant frameworks, theories, models, and data sources.<br>
* Contribute to the group’s modeling framework for studying human-environment systems. <br>
* Present research findings at conferences, workshops, and other relevant events.<br>
* Prepare and publish high-quality research papers in peer-reviewed journals.<br>
* Contribute to teaching human-environment modeling and the supervision of student projects. <br>
* Obtain a doctoral degree.</p>
<p><strong>Your Profile</strong>:<br>
* Master’s degree (or equivalent) in a relevant field such as Sustainability Science, Economics, Computer Science, Physics, Mathematics, or a related discipline. <br>
* Strong background in quantitative research methods and mathematical modeling.<br>
* Proficiency in scientific computing with Python.<br>
* Willingness to engage in concepts from sustainability science.<br>
* Prior knowledge of reinforcement learning in multi-agent systems is desirable. <br>
* Excellent written and oral communication skills in English.<br>
* Ability to work independently and as part of a team. <br>
* Strong organizational and time management skills. </p>
<p><strong>What we offer</strong>: <br>
* Cutting-edge research opportunities in a stimulating and collaborative environment.<br>
* Access to state-of-the-art research facilities and resources.<br>
* Freedom to shape your research project. <br>
* Supportive supervision from experienced researchers. <br>
* Competitive salary and possibility for a contract extension.<br>
* Opportunities for professional development and networking.<br>
* A family-friendly university that promotes diversity and equal opportunities.</p>
<p><strong>Application Process</strong>: <br>
Interested candidates are invited to submit their application, including a cover letter, curriculum vitae, academic transcripts, and contact information for two references (they will only be contacted for short-listed candidates). Please also include a concise research statement outlining your research interests, relevant experience, and motivation for pursuing a doctoral degree in modeling human-environment systems in our group.</p>
<p>The application deadline is 17. Sep. 2023. Applications (compiled into one PDF) should be emailed to wbarfuss@uni<a href="http://-bonn.de">-bonn.de</a> with the subject line “Doctoral Position Application - Modeling Human-Environment Systems”. For further information or to discuss the position, please also contact Jun.-Prof. Dr. Wolfram Barfuss by email: wbarfuss@uni<a href="http://-bonn.de">-bonn.de</a>.</p>
<p>The University of Bonn is an equal-opportunity employer committed to diversity and inclusion and places particular emphasis on fostering career opportunities for women. We encourage applications from individuals of all backgrounds and experiences. Qualified women are strongly encouraged to apply. The university is a certified family-friendly institution and supports its employees in balancing work and family life. </p>
<p><strong>Join our team and make a difference in contributing to a sustainable future by reshaping human-environment modeling!</strong> </p>PhD in agent-based modelling for future transportation (University of Leeds, UK)2023-07-11T05:07:06.237174+00:002023-07-11T05:07:06.366325+00:00kaclaborn/users/3304/https://www.comses.net/jobs/605/<p>Disruptions, events, incidents, and closures are daily characteristics of urban transport systems. Yet, our understanding of how people change their travel behaviours in each situation is limited. Improving our understanding of behaviour under different scenarios, and development of a robust model of behaviour, would be beneficial to transport authorities seeking to promote behaviour change to improve services. </p>
<p>This project will undertake analyses of changes in travel behaviour following disruption (events, incidents, road closures) and develop new ABMs that predict the outcomes of future disruptions. The project is in collaboration with Transport for West Midlands in order to provide real-world application and context for the modelling.</p>
<p>Supervisors: Ed Manley, Manon Prédhumeau<br>
Project partner: Transport for West Midlands<br>
Application deadline: 21st July 2023</p>
<p>For more details, visit <a href="https://datacdt.org/projects/predicting-travel-patterns-under-disruption-and-change/">https://datacdt.org/projects/predicting-travel-patterns-under-disruption-and-change/</a></p>Hiring Postdoctoral Researcher for AI-PM Project2023-06-22T20:10:29.860239+00:002023-06-22T20:10:30.360719+00:00bashiri/users/1531/https://www.comses.net/jobs/604/<p>The médialab at Sciences Po is hiring a Postdoctoral Researcher to work on mathematical modeling of political opinions, interactions in online social platforms, and algorithmic recommendations.<br>
The offered position is part of the AI-Political Machines project, funded by the McCourt Institute, a research center established at Sciences Po in Paris and Georgetown University in Washington DC, devoted to conducting research tackling the challenges of the Internet, Artificial Intelligence, and their impact in society. <br>
The goal of project AIPM is to improve the understanding of how AI systems perceive large social, political, and informational online systems, and what the implications are for algorithmic mediation and recommendation, and their impact on social phenomena. Most AI systems mediating social platforms (e.g., generating friend and content recommendations) are trained using digital traces: networks of friends in social platforms (social graphs), content consumption and behavioral trace data (clicks, views, shares, retweets, etc.), in addition to text and images. AIPM seeks to improve the understanding of what these systems are implicitly inferring about users when trained to propose algorithmic recommendations. Are AI systems capable of inadvertently learning political stances of users when computing recommendations? What are the effects of algorithms mediating digital space in opinions and polarization? How to leverage knowledge about machine perception of large social systems in designing better AI systems?</p>Postdoctoral research position: Design and incremental implementation of an agent-based model for TerraSim2023-06-06T16:09:33.189444+00:002023-06-06T16:09:33.337499+00:00kaclaborn/users/3304/https://www.comses.net/jobs/603/<p>Intentions<br>
The TerraNeon project (PI : Jean-Daniel Kant) proposes to build an innovative decision-making tool aimed at reducing the impact of human activities on climate and biodiversity by adopting a highly systemic and multi-agent approach. TerraNeon is supported by CNRS Innovation, and Sorbonne University.</p>
<p>TerraNeon includes TerraSim, an agent-based simulator (composed of interacting software agents) to model and simulate: human activities (individual and social), economic activities (individuals and companies), and their impacts on climate and biodiversity; the impact of policies (measures, rules, laws) on the system as a whole. Multi-Agent Simulation is the result of recent work in collective artificial intelligence.</p>
<p>The strong point of Multi-Agent Simulations is that they allow collective emergences that cannot be easily predicted from individual behaviours [1,2]. At LIP6, we have significant experience in multi-agent simulation of human activities. Thus, with WorkSim [3], we were the only ones to propose a quantitative evaluation of the “El Khomri” labour law, an evaluation cited and recognised by the IMF [4] and by the European Commission [5]. Furthermore, we have developed an efficient method for validating multi-agent models, based on the realism of the modelling assumptions, the automatic calibration of the model parameters, and robustness and sensitivity analyses [6].</p>
<p>Description<br>
You will join the TerraNeon team (6 members now), interact and benefit from the current advances in designing TerraSim.</p>
<p>In TerraSim, 4 main Human activities - called “blocks” - are primarily modeled: Housing / urban planning, Energy, Agriculture, and Transport (grouped under the acronym HEAT in the following).</p>
<p>We follow an incremental approach, which is essential to master the complexity inherent in the chosen systemic approach. Starting from a macroscopic level model (provided), it will be progressively enriched by modelling HEAT activities with a finer granularity, chosen to better represent and capture the societal and environmental impacts of the policies studied. An Agile methodology will be used to ensure both the consistency of the model with its implementation, and the adequacy of the level of granularity chosen for each HEAT component.</p>
<p>This post-doc focuses on the deepening of some of the blocks of the HEAT model. After a phase of analysis of the model and its implementation coupled with a bibliographic study, each work cycle will be composed of the following stages:</p>
<ol>
<li>Selection of the block (among HEAT) to be developed; design of the agents and their interactions in TerraSim</li>
<li>Climate : Data Collection for each of the previous points, also integrating GHG emissions and Life Cycle Analyses for the products considered, etc.</li>
<li>Biodiversity: Data Collection on Land Occupation, Critical Level Ressources, etc.</li>
<li>Modelling the population: initialisation, demography, …</li>
<li>Definition of output indicators: medium and long term sustainability, etc.</li>
<li>Implementation of the simulation</li>
<li>Analysis of results</li>
</ol>
<p>Validation<br>
Particular emphasis will be placed on the validation processes of the product model, as TerraSim aims to produce a model that is as realistic as possible. We adopt the MOSIMA method, which includes [6]:</p>
<ul>
<li>The collection of data and empirical elements for the construction of the model;</li>
<li>The collection of data for the calibration of parameters and the implementation of this automatic calibration using optimization algorithms ;</li>
<li>Generalization tests to reproduce known stylized facts.</li>
</ul>
<p>Technical Environment<br>
The implementations will be carried out in Scala and developed in continuous integration, following an agile method and in interaction with other developments carried out around the TerraSim tool. Significant vigilance will be paid to the quality of the code and the rigor of testing procedures, and software engineering in general.</p>
<p>Conditions<br>
The post-doc will take place in Paris (France), within the MAS team of LIP6 (Sorbonne University, Jussieu Campus) for a period of 18 months. The gross monthly remuneration will be 3400 €.</p>
<p>Requirements<br>
The ideal candidate must have a PhD degree and a strong background in computer science, agent-based modelling and simulation.</p>
<p>The successful candidate should have:</p>
<ul>
<li>Solid Experience in agent-based modelling and simulation (applied to social science, economics or environmental sciences)</li>
<li>Experience in Data Collection</li>
<li>Knowledge / experience in Climate Science and/or Biodiversity Sciences and/or Economics is a plus</li>
<li>Good knowledge of experimental design and simulation analysis</li>
<li>Excellent publication record</li>
<li>Strong skills in software development object-oriented programming: Scala (ideally) or Java or similar</li>
<li>Willing to work in a multi-disciplinary environment</li>
<li>Excellent communication (oral and written, English) and interpersonal skills</li>
</ul>PhD in Social support for the real-world introduction of AI in critical infrastructure (Jheronimus Academy of Data Science, the Netherlands)2023-06-06T16:01:04.000853+00:002023-06-06T16:01:41.145589+00:00kaclaborn/users/3304/https://www.comses.net/jobs/602/<p>The Jheronimus Academy of Data Science (JADS) is the joint Data Science Academy of Tilburg University and Eindhoven University of Technology, the Netherlands. JADS is seeking an enthusiastic colleague for the position of PhD researcher in Social support for the real-world introduction of AI in critical infrastructure, as part of the ILUSTRE project that focusses on use-cases in the Caribbean region.</p>
<p>Short Description<br>
The social impact of technology on its users has been vastly proved to be enormous since it might pose organizational and social obstacles. Acceptance of new technologies, especially in the energy field, has been recognized as one of the primary barriers to implementing technological innovations. In the context of the ILUSTRE project, we will investigate the impact of IT technology on the energy and water supply domains. The project will focus on two main aspects: 1) the impact on the partner industries’ managers and employees; 2) the impact on the broader society - since AI technology will affect the quality and the features of the services provided to the population. We model these social processes through social networks and predict possible social outcomes of interventions in the networks employing statistics, system dynamics modelling and ABMs.</p>
<p><strong>Job Description</strong><br>
In this position, you will be collecting data using group model building (GMB) and survey methodology. Then you will employ social network analysis (SNA) to monitor the extent to which the employees and the larger public (together called the stakeholders) receive and respond to the implementation. These techniques will be used in conjunction with system dynamics and agent-based simulation models.</p>
<p><strong>ILUSTRE project</strong><br>
This position is linked to ILUSTRE, a new Innovation Center for Artificial Intelligence (ICAI) to be established in Curaçao. ILUSTRE will be a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advanced solutions in water treatment and wastewater recycling/purification. The innovation lab is one of the new ICAI labs that are part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme. ILUSTRE offers opportunities for PhD candidates who wish to support to the acceleration of the energy transition and who have an affinity with the Dutch Caribbean islands.</p>
<p><strong>Job Requirements</strong></p>
<ul>
<li>A master’s degree in Computational Social Science, Statistics, Computer Science, Data Science, Sociology, Political Science, Organizational Studies with a strong quantitative background, or related disciplines.</li>
<li>Provable affinity with the Caribbean region </li>
<li>Preparedness to perform a significant part of the research in the Caribbean region</li>
<li>Preferably experience with Social Network Analysis, Data collection techniques, System Dynamics Modelling, Agent Based Modelling.</li>
<li>Strong programming skills, preferably in R.</li>
<li>A research-oriented attitude and interest in collaborating with the industrial partners</li>
<li>Experience in dealing with stakeholders.</li>
<li>Fluent in spoken and written English (C1 level). </li>
</ul>Research Fellow in Simulating Urban Systems (University of Leeds)2023-05-12T00:05:57.484533+00:002023-05-12T00:06:09.293559+00:00kaclaborn/users/3304/https://www.comses.net/jobs/601/<p>You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is developing agent-based computer simulations that can be used to model social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. Agent-based modelling is an ideal methodology for this type of simulation but has rarely been used to make real-time predictions. Hence there is an opportunity to develop models that are able to incorporate real-time data to make their short-term predictions more accurate. </p>
<p>You will contribute to one of three alternative project work streams depending on your interests and expertise: (i) agent-based diffusion models that can adapt to new data in real time to model infectious disease transmission or the spread of political ideas; (ii) public transport models that can provide up-to-date delay estimates in a complex, noisy transport system; and (iii) economic agent-based models that can adapt to rapidly changing social and economic conditions.</p>
<p>The research team is lead by Dr Nick Malleson and will be located within the School of Geography and the Leeds Institute for Data Analytics (LIDA), both of which are emerging as international centres of excellence in agent-based modelling. The city of Leeds is already recognised as a hub for big data analytics in business, health care and academic research. In addition, the University is a partner in the Alan Turing Institute, which is the UK’s national institute for artificial intelligence and data science, offering exciting opportunites to for researchers to engage with scientific leaders from a range of fields. </p>
<p>To explore the post further or for any queries you may have, please contact:</p>
<p>Professor Nick Malleson<br>
Tel: +44 (0)113 343 5248<br>
Email: n.s.malleson@leeds.ac.uk</p>Post-Doctoral Scholar Agent Based Modeling to Improve Cage-Free Housing Systems2023-05-09T15:33:44.298817+00:002023-05-09T15:33:44.822569+00:00pzollner/users/3578/https://www.comses.net/jobs/600/<p><strong>Title:</strong> Agent Based Modeling to Improve Cage-Free Housing Systems: What Does the Hen See?</p>
<p><strong>Institution:</strong> Purdue University, Department of Forestry and Natural Resources </p>
<p><strong>Location:</strong> Purdue University West Lafayette, IN is preferred. However, we will consider hybrid and remote work models.</p>
<p><strong>Job Category:</strong> Post-Doctoral Scholar</p>
<p><strong>Salary:</strong> Commensurate with standards for post-doctoral scholars in the Department of Forestry and Natural Resources at Purdue University the starting annual salary will be at least $47,500. The position includes benefits typical for post-doctoral scholars at Purdue (<a href="https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php">https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php</a>).</p>
<p><strong>Duration of Appointment:</strong> Eighteen months.</p>
<p><strong>Pertinent Websites:</strong> <a href="https://ag.purdue.edu/stories/through-the-hens-eyes-1-million-grant-to-improve-cage-free-housing-for-egg-laying/">https://ag.purdue.edu/stories/through-the-hens-eyes-1-million-grant-to-improve-cage-free-housing-for-egg-laying/</a> and <a href="https://cris.nifa.usda.gov/cgi-bin/starfinder/0?path=fastlink1.txt&id=anon&pass=&search=R=95189&format=WEBFMT6NT">https://cris.nifa.usda.gov/cgi-bin/starfinder/0?path=fastlink1.txt&id=anon&pass=&search=R=95189&format=WEBFMT6NT</a><br>
Start Date: Negotiable but desired mid-June 2023</p>
<p><strong>Project Description:</strong> Egg production in the US is changing from caged to cage-free production. This requires that 72% of laying hens are raised in cage-free housing by 2025. However, there are many different cage-free designs and we don’t know about the performance of hens in these different designs. As more hens are housed in cage-free housing systems, it is important to design systems based on hens’ perceptions and needs, rather than human assumptions. This project aims to understand how hens see the environment so that new cage-free housing can be created that positively impacts hen behavior, productivity and welfare, and food safety. This project will 1) collect information on the laying hens’ eyes, physiology, behavior and welfare in two cage-free housing systems; 2) develop models to estimate how hens see their environment; 3) develop Agent Based Models (ABM) for comparing virtual cage-free housing systems; and 4) build and validate the virtual cage-free system in real life. This approach will facilitate the design of a housing system better suited to the laying hen by reducing unwanted behaviors and improving hen welfare. Egg producers will understand hens’ perceptions and use of the cage-free environment, guiding producers’ decision-making. Additionally, housing manufacturers will have a new approach that could inform the design of future cage-free housing systems. </p>
<p><strong>Position Description/Project Role:</strong> The selected post-doctoral scholar will work closely with the entire team (see below) to design, code and implement this ABM under the supervision of Dr. Pat Zollner. </p>
<p>This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling and animal biology. The position provides relevant experience for a career trajectory within a government agency or a research career at a university or non-governmental organizations (NGO). The post-doctoral scholar will be supervised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). They will collaborate with: Dr. Darrin Karcher, Dr. Marissa Erasmus, and Dr. Greg Fraley of Purdue’s Department of Animal Sciences as well as Dr. Esteban Fernandez-Juricic from Purdue’s Department of Biology and Dr. Deana Jones US National Poultry Research Center. They will also work closely with representatives from industry throughout model development, testing and implementation.<br>
Specific Duties: The post-doctoral scholar will be actively engaged throughout the ABM model development cycle to design, document, implement in code, analyze outputs from a complex agent-based model and prepare/submit manuscripts describing the final products. Successful applicants should expect to do the following:</p>
<p>1) Collaboratively design and develop/code an agent-based model that will integrate inputs from multiple contributors across the project team and stakeholders. Including the ability to plan for this integration, and maintaining iterative versions of model code. </p>
<p>2) Run agent-based modeling software at scale, so that a complex model with thousands of interacting agents can be run hundreds, if not thousands, of times for different analyses working on a computing cluster and/or using cloud-based resources. This skill is required for model testing, calibration, sensitivity analysis, and applied analyses to simulate many stakeholders or researcher-driven alternative management scenarios to assess their relative effectiveness.</p>
<p>3) Use strong code documentation skills (e.g., modeling notebooks, comments in code, etc.) to work with the project team to develop appropriate documentation (ODD, TRACE) of the development and application of this ABM.</p>
<p>4) Use documented scientific writing skills to synthesize this work into manuscripts submitted to journals as final deliverables for this project.</p>
<p>5) Use effective communication skills to interact with stakeholder to ensure their perspectives and concerns are addressed in model development and implementation.</p>
<p><strong>Qualifications:</strong> PhD in Computer Programming, Software Engineering, or a related field with an interest in management of cage-free housing systems for egg laying hens. Alternatively, PhD in Biological Sciences or a related discipline with experience in Agent Based Modeling or clearly demonstrated strong quantitative skills.</p>
<p>When preparing materials (statement of interest & response to 5 questions described in how to apply below) applicants should explicitly address their demonstrated organizational skills, interest/background in agent-based modeling, quantitative skills, and their ability to successfully engage with stakeholders. Applicants should be highly motivated with a demonstrated ability to work independently and collaboratively. The post-doctoral scholar that we hire should be able to successfully interact with partners including industry, and government agencies across many levels as well as NGOs. Applicants with experience publishing peer-reviewed journal articles, a strong work ethic, demonstrated technical writing ability, as well as training in quantitative modeling, excellent interpersonal skills, demonstrated skill or skill potential in agent-based modeling will be most competitive. Experience developing individual/agent-based models in NetLogo or equivalent platforms, knowledge related to optimizing solutions to network structure challenges, familiarity with poultry and specifically egg laying industry as well as candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p><strong>How to Apply:</strong> Interested applicants should compile all of the following materials into a single pdf file; a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 5 questions (each of these responses should be 250 words or less). </p>
<ol>
<li>Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.</li>
<li>Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.</li>
<li>What motivates you to pursue post-doctoral scholarship, and how will participation in this project prepare you to achieve your career goals?</li>
<li>Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.</li>
<li>What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?</li>
</ol>
<p>That single pdf should be attached to an email that has a subject line of “Application for Post-Doctoral Scholar on Egg Laying Hen ABM”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation. Application review will begin on June 1 of 2023 and continue until a suitable applicant is hired for the position.</p>
<p><strong>Employment Context:</strong> Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and year-long community festivals and art events. Purdue University is committed to providing an educational and work environment free of discrimination and harassment and does not condone and will not tolerate discrimination or harassment of any person in the University community.</p>
<p><strong>Contact Persons:</strong> Dr. Patrick Zollner <br>
<strong>Contact Phones:</strong> (765) 496-9495<br>
<strong>Contact e-mails:</strong> pzollner@purdue.edu</p>
<p><strong><em>Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.</em></strong></p>PHD GRANT 2023-2026 MULTI-LEVEL MODELING OF DIFFERENTIATION PROCESSES AND SOCIAL DYNAMICS: OPINIONS, NORMS AND VALUES2023-04-26T20:03:24.577242+00:002023-04-26T20:03:25.827703+00:00bashiri/users/1531/https://www.comses.net/jobs/599/<p>Objective: to understand, from models confronted with empirical data, how individuals’ opinions and preferences interact with the structuring of social networks and groups to generate collective behaviors and social dynamics.</p>
<p>Keywords: computational social science, opinion dynamics, complex systems modeling, web-mining & deep learning, cognitive science.</p>
<p>Abstract: The formal modeling of social phenomena has known several interdisciplinary contributions since the founding work of John Nash on non-cooperative games with contributions from social psychology, sociology, cognitive economics or anthropology. Stylized theoretical models based on statistical physics and dynamical systems theory have addressed the central question of the articulation between individuals and the collective. These works, which formalized in a stylized way the concepts of opinions, norms and values, have only been confronted with real systems in a qualitative way, due to the lack of large-scale data on these phenomena.</p>
<p>The accessibility of massive data made possible by online social networks has changed this situation. Thus, and despite questions about the social segmentation of users of these platforms, it is nevertheless possible to use them to address several questions concerning social dynamics. For example, it is possible to study the formation of consensus, or polarization around a topic of social interest or to evaluate the phenomena of rumor or fake news diffusion.</p>
<p>This thesis project will aim at developing formalisms that can bridge different approaches to social modeling (game theory, statistical physics, dynamical systems, and complex networks) by integrating in a multilevel way the issues of opinion formation, values and norms, intrinsically linked to the personality of social actors, and the social structures in which they evolve (modeled as complex networks). In particular, we propose to study the dynamics of coupling between the processes of morphogenesis of the intrinsic properties of social actors and those of the interaction networks they form, through theoretical and empirical approaches.</p>
<p>The person recruited for this project will be in charge of developing new formalisms for the study of opinion dynamics, at the interface between statistical physics, game theory, agent models, complex network modeling and data science. These models will be fed by knowledge from the main theories of the individual (cognitive sciences) and the social (sociology/anthropology) and will be validated by relying on the solid mass of data and reconstructions from the macroscopes of the Institut des Systèmes Complexes de Paris Île-de-France (ISC-PIF) on topics such as French politics, climate and the COVID-19 pandemic.</p>
<p>This thesis is part of an interdisciplinary project funded by the 80PRIME call of the CNRS, which aims to better understand the long-term societal impacts of crises such as pandemics or global warming on our societies, by modeling the processes of collective attention, evolution of values and opinions and more globally, of change of interaction mode in society.</p>
<p>Education and skills expected: Master’s degree in Applied Mathematics, Physics, Computer Science or related. Mastery of programming languages allowing the realization of extensive simulations and the analysis of massive data. Interest in an interdisciplinary approach.</p>
<p>How to apply: Send your CV, cover letter, transcript (L1-M2) and two letters of recommendation to the co-supervisors before May 31, 2023. Selection will be based on an interview after selection on file by June 2023.</p>
<p>David Chavalarias (directeur), CNRS, ISC-PIF & CAMS, david.chavalarias@iscpif.fr ; Laura Hernandez (co-directrice), LPTM, CNRS-CY Cergy-Paris Université, Laura.Hernandez@cyu.fr</p>
<p>Place of work : Institut des Systèmes Complexes de Paris Île-de-France, 75013, <a href="http://iscpif.fr">http://iscpif.fr</a>. The person recruited will also benefit from the status of member of the LPTM.</p>
<p>École Doctorale : formation doctorale « Sciences de la Société » co-accréditée EHESS / ENS-PSL.</p>
<p>Links : <a href="http://politoscope.org">http://politoscope.org</a>, <a href="http://climatoscope.org">http://climatoscope.org</a> ; <a href="https://iscpif.fr/recherche/projets">https://iscpif.fr/recherche/projets</a></p>Senior researcher at Center for Modeling Social Systems2023-04-20T08:39:04.111746+00:002023-04-20T08:39:04.764635+00:00pati/users/4013/https://www.comses.net/jobs/598/<p>Dear all,</p>
<p>Are you interested in developing artificial populations for digital twins and ABMs?<br>
Yes -> Be sure to apply for a senior researcher position at the Center for Modelling Social Systems: <a href="https://www.jobbnorge.no/en/available-jobs/job/243665/forsker-ii-senior-researcher-to-center-for-modeling-social-systems">https://www.jobbnorge.no/en/available-jobs/job/243665/forsker-ii-senior-researcher-to-center-for-modeling-social-systems</a><br>
No -> Do you know someone who is interested in developing artificial populations for digital twins/ABMs?<br>
Yes -> Make sure to forward this advert to them: <a href="https://www.jobbnorge.no/en/available-jobs/job/243665/forsker-ii-senior-researcher-to-">https://www.jobbnorge.no/en/available-jobs/job/243665/forsker-ii-senior-researcher-to-</a> <br>
center-for-modeling-social-systems<br>
No -> Stop wasting you time reading this, it’s clearly not for you! :)<br>
Uncertain -> Maybe the text of the add (below) or writing me a question will help.</p>
<p>Full text of the add:</p>
<p><strong>About the Center for Modeling Social Systems</strong></p>
<p>The Center for Modeling Social Systems (CMSS) is a passionate, interdisciplinary research group at the intersection among cognitive, social, and computational sciences, that works with subject matter experts and policy professionals, to co-create conceptual and computational models for analyzing and predicting societal change. We use a variety of computational methods, but our favorite approach is agent-based modelling (ABM). As part of several multinational consortia, CMSS has been developing computational models on topics related to sustainable development and peaceful societal transitions. Our aim is to provide meaningful scientific contributions to solving present-day societal challenges, often by working together with public policy stakeholders. Outputs from our work include easy to use online platforms on which stakeholders can perform experiments within the constructed artificial societies. In the foreseeable future, we will focus on consolidating our pioneering position in the Norwegian research landscape and strengthen our presence on international arenas.</p>
<p><strong>About the position</strong></p>
<p>The selected candidate will be appointed a full-time position (1,0 fte) as a Forsker II/Senior researcher in the NORCE Kristiansand office. The working language is English, although knowledge of or willingness to learn Norwegian will be an additional advantage.<br>
We are looking for a researcher to complement our CMSS team in working on a variety of upcoming projects. The successful candidate will initially be mainly involved in carrying out quantitative and qualitative research and preparing data to inform agent-based models (or programming models if the candidate has a relevant skillset) for an EU HORIZON project, which begins in the summer of 2023 and studies the design and uptake of novel foods made of alternative protein sources. The modelling effort will be a collaboration between NORCE, who is primarily responsible for programming human adaptive behaviors, and other leading European business institutions developing algae-based protein sources. The goal is to carry out a scalable research approach that guides the product to markets.<br>
There are no teaching obligations. Members of the CMSS team are expected to pursue grant applications and represent NORCE at dissemination events.</p>
<p><strong>Who are we looking for?</strong></p>
<p>Candidates who are motivated to further their career in a leading ABM research unit and contribute to the advancement of the methodology in complex, mixed-methods studies are invited to apply. The successful candidate should be able to work independently and to collaborate with all members of the research team (incl. interacting with international researchers and stakeholders). She/he will be expected to produce high-quality research, contribute to project’s deliverables, write scientific articles published in relevant peer-reviewed journals, and present the results of the research in Norwegian and international contexts.<br>
The successful candidate is expected to start in summer 2023, or as soon as possible thereafter.</p>
<p><strong>Required qualifications & competences:</strong></p>
<p>• A completed or almost completed PhD in a relevant discipline (e.g., demography, econometrics, sociology, computational social science, <br>
psychology, AI, future studies, data science or similar).<br>
• Substantial expertise in carrying out quantitative research (e.g., surveys, networks studies, experiments; incl. conceptualization, <br>
operationalization, sampling, data collection and analysis).<br>
• Interest in learning simulation methods and applying them in social contexts. Previous experience in social simulation is a plus.<br>
• Proven ability to collaborate in multi-, inter- or transdisciplinary research teams, to take the lead in organizing collaborative work, and to work <br>
independently.<br>
• Excellent written and oral command of the English language.</p>
<p><strong>Desired Qualifications & competences:</strong></p>
<p>• Experience in qualitative data collection (e.g., stakeholder workshops, focus-group interviews, individual in-depth interviews, games), analysis <br>
techniques and CAQDAS (e.g., Nvivo, MaxQDA, QDAMiner).<br>
• Experience in the integration of various types of data in multi-method research designs (e.g., combining quantitative, qualitative and simulation <br>
methods).<br>
• Data visualization skills (e.g., GIS, quantitative data, qualitative data).<br>
• Experience in research with stakeholders, preferably in participatory settings.<br>
• Very good academic writing skills, reflected in publications in high quality international peer-reviewed academic journals in the field.<br>
• Ability to write grant applications.</p>
<p><strong>For the right candidate we offer:</strong></p>
<p>• Joining a highly motivated team of people who love what they do and take joy in it,<br>
• A creative, interdisciplinary, multicultural NORCE environment with excellent development and networking possibilities,<br>
• An opportunity to meaningfully contribute to the pioneering methodological work of a fast-growing research institution,<br>
• Working on stimulating projects that aim to bring about positive changes in complex social systems,<br>
• Support in advancing ABM programming skills,<br>
• Links with other national and international (research) centers,<br>
• Access to innovative infrastructure and resources,<br>
• The chance of developing a solid and stable research career,<br>
• Support in learning Norwegian,<br>
• Competitive salary,<br>
• Good pension and insurance schemes.</p>
<p><strong>How to apply?</strong></p>
<p>Apply electronically by registering your application at <a href="http://jobbnorge.no">jobbnorge.no</a></p>
<p><strong>The application must include:</strong></p>
<p>• Motivation letter,<br>
• CV,<br>
• Copies of relevant diplomas and certificates,<br>
• 1-2 research outputs (e.g., journal articles, book chapters, scientific reports),<br>
• 2 reference letters with names and contact information (email, phone number) for the referees.<br>
Application deadline: 1st of June 2023.</p>
<p><strong>Contact</strong><br>
Questions can be directed to Head of CMSS, Patrycja Antosz: paan@norceresearch.no</p>United Nations University Institute in Macau - Researcher on Data Science and Computational Social Science2023-04-13T07:57:14.797555+00:002024-03-04T18:33:14.586847+00:00alee/users/3/https://www.comses.net/jobs/597/<p>The United Nations University Institute in Macau’s research team consists of a dynamic and highly professional group of multi-disciplinary researchers from across the world. The research team works collaboratively to seek big-sized research grants and conduct research projects together for policy impact. The Institute has recently developed its Strategic Plan (2021-2025), where systems thinking, and participatory approaches are the two major pillars of the research portfolio (see <a href="https://go.unu.edu/DZBVR">https://go.unu.edu/DZBVR</a> for details).</p>
<p>Qualifications</p>
<p>Doctoral (PhD) degree in computer science, data science, computer-based modelling, computational social science, digital humanities or a related field is required. Research areas have to be related to data science and their use applied to topics already addressed by the Institute: cyber-security, health, artificial intelligence, etc …</p>
<p>Areas of expertise includes but are not limited to:</p>
<ul>
<li>Computational Social Science;</li>
<li>Machine learning and AI tools applied to social science research;</li>
<li>Social simulation and agent-based modelling;</li>
<li>Social network analysis;</li>
<li>Critical thinking on Data Science, datasets and their application on wicked issues. </li>
</ul>
<p>More information about the position can be found here: <a href="https://cs.unu.edu/news/news/unu-macau-is-looking-for-talents-to-join-us.html">https://cs.unu.edu/news/news/unu-macau-is-looking-for-talents-to-join-us.html</a></p>Research Assistant (4 years) - Wildlife inventory and conservation planning2023-04-12T14:35:02.434749+00:002023-04-12T14:35:03.018431+00:00valentejj/users/3941/https://www.comses.net/jobs/596/<p>Job Summary: Researchers from the College of Forestry, Wildlife and Environment at Auburn University are implementing a 4-year project to understand the impacts of historical management activities on biodiversity of Alabama wildlife and to inform future approaches to habitat management on state lands. As part of this project, we are seeking a research assistant who will assist with coordinating all field- and office-based aspects of the project.</p>
<p>Essential Functions:<br>
• Purchasing and maintaining field and lab equipment<br>
• Organizing field sampling logistics including permits, vehicles, and field housing<br>
• Coordinate all aspects of data management, including developing data sheets and data entry, proofing, managing, and analysis<br>
• Participate in field-based sampling efforts for birds, mammals, and vegetation<br>
• Ensuring field vehicles are maintained<br>
• Hiring and supervising field technicians<br>
• Acquiring and maintaining GIS databases<br>
• Tracking the budget<br>
• Disseminating project information in the form of reports, peer-reviewed manuscripts, and presentations</p>
<p>Minimum Qualifications:<br>
• Bachelor’s degree in wildlife, biology, ecology, forestry, or a closely related field from an accredited institution<br>
• Strong communication skills in oral and written English<br>
• Capable of working in both outdoor and settings<br>
• Strong computer skills<br>
• Comfortable driving long distances<br>
• Self-motivation, a positive attitude, and strong interpersonal skills<br>
• Ability to work independently and as part of an interdisciplinary team</p>
<p>Desired Qualifications – Note that while these skills and qualifications are desirable, previous experience in all of these areas is not required. Please do not self-select yourself out of applying, as there are many ways to be successful in this position and many different types of skills that will be useful.<br>
• MS degree in wildlife, biology, ecology, natural resources, forestry, or a closely related field from an accredited institution<br>
• Prior field experience conducting avian point counts, small mammal trapping, and vegetation sampling<br>
• Ability to navigate challenges associated with working outdoors in the southeastern United States (e.g., heat, humidity, biting insects, poison ivy)<br>
• Strong data management skills and experience using R, Github, GIS and remote sensing software<br>
• Experience presenting and publishing peer-reviewed research<br>
• Experience working with government agencies and other diverse stakeholder groups</p>
<p>Hourly Rate: $33,000 - $68,300 commensurate with experience</p>
<p>To apply, please visit <a href="https://www.auemployment.com/postings/36927">https://www.auemployment.com/postings/36927</a>. Please contact Dr. Jonathon Valente (jjv0016@auburn.edu) with questions.</p>MS Graduate Assistantship: Remote sensing of vegetation for wildlife habitat2023-04-12T13:46:44.645663+00:002023-04-12T13:46:45.280819+00:00valentejj/users/3941/https://www.comses.net/jobs/595/<p>The USGS Alabama Cooperative Fish and Wildlife Research Unit (<a href="https://www1.usgs.gov/coopunits/unit/Alabama">https://www1.usgs.gov/coopunits/unit/Alabama</a>), in collaboration with the Geospatial Analytics Lab (<a href="https://geospatial.auburn.edu/">https://geospatial.auburn.edu/</a>) has an opening for a fully funded MS graduate research assistantship in the College of Forestry, Wildlife and Environment at Auburn University. This position will be co-supervised by Dr. Jonathon Valente (<a href="https://www.jonathonvalente.com/">https://www.jonathonvalente.com/</a>) and Dr. Lana Narine. Using remote sensing and in-situ vegetation surveys, the graduate assistant will examine how vegetation and landcover has changed on and around state-owned Wildlife Management Areas (WMAs) across Alabama as a function of historical management. This project will entail the integration of ground-based measurements with data derived from multiple remote sensing platforms using statistical and machine learning techniques for spatially explicit characterizations of vegetation attributes. This research is being conducted as part of a larger effort to understand the impacts of historical management activities on biodiversity of local wildlife and to inform future approaches to habitat management on state lands. As part of this interdisciplinary collaboration, the student will be mentored in remote sensing, field-based vegetation survey techniques, and wildlife habitat management and the student will have the opportunity to collaborate with a large team comprised of AU faculty and graduate students, and biologists from the Alabama Department of Conservation and Natural Resources. In addition, this project will involve field-based sampling in 6 ecoregions (Interior Low Plateau, Southwestern Appalachians, Ridge and Valey, Piedmont, Southeastern Plains, and Southern Coastal Plain) throughout Alabama, the most biodiverse U.S. state east of the Mississippi River.</p>
<p>The position begins fall semester of 2023 (August 16th). Prospective candidates should be highly motivated, interested in developing field- and computer-based skills, and have a strong background in one or more of the following areas: GIS, remote sensing, forestry, ecology, botany, or habitat management. </p>
<p>Required Qualifications:<br>
• Bachelor’s degree in Forestry, Ecology, or closely related field<br>
• Strong communication skills in oral and written English and ability to work independently and as part of an interdisciplinary team.<br>
• Strong background in Geographic Information Systems (GIS) and/or experience with remote sensing<br>
• Self-motivation, a positive attitude, and strong interpersonal skills</p>
<p>Desired Qualifications:<br>
• Demonstrated history of presenting and publishing peer-reviewed research<br>
• Experience working with government agencies<br>
• Experience with vegetation sampling, scientific writing, and data analysis</p>
<p>Salary: $24,000 per year, plus tuition remission and benefits</p>
<p>How to Apply:<br>
Interested individuals should contact Dr. Jonathon Valente (jjv0016@auburn.edu) and Dr. Lana Narine at lln0005@auburn.edu with any questions. To apply, please state “MS Assistantship Position” in the email subject line and include a single PDF document with the following: (i) CV, (ii) statement of interest/personal statement, (iii) GRE and/or TOFEL scores (if available), (iv) unofficial transcripts and (v) names and emails of three references. Applications are due by April 16th, but we encourage you to apply as soon as possible because applications will be evaluated on a rolling basis. More information about our graduate program can be found here: <a href="https://cfwe.auburn.edu/graduate-study/graduate-degrees/">https://cfwe.auburn.edu/graduate-study/graduate-degrees/</a> </p>PhD Graduate Assistantship Modeling Avian Distributions2023-04-12T13:43:37.760990+00:002023-04-12T13:43:39.384555+00:00valentejj/users/3941/https://www.comses.net/jobs/594/<p>We have an opening for a fully funded PhD graduate research assistantship focused on spatial modeling and avian ecology in the College of Forestry, Wildlife and Environment (CFWE) at Auburn University. The position will be co-supervised by Dr. Jonathon Valente (<a href="https://www.JonathonValente.com/">https://www.JonathonValente.com/</a>) of the USGS Alabama Cooperative Fish and Wildlife Research Unit (<a href="https://www1.usgs.gov/coopunits/unit/Alabama">https://www1.usgs.gov/coopunits/unit/Alabama</a>), and Dr. Christopher Lepczyk of the CFWE (<a href="http://cfwe.auburn.edu/profile/christopher-lepczyk/">http://cfwe.auburn.edu/profile/christopher-lepczyk/</a>). The student’s project will focus on integrating remotely sensed data with bird observations collected in the field and across different levels of statistical and methodological rigor (i.e., citizen science observations, nationwide structured surveys, and local point count efforts) to develop robust statewide species distribution models for breeding birds. Specific dissertation chapters will be developed by the student in consultation with Drs. Valente and Lepczyk, but at least one must meet the objectives of understanding long-term changes in avian habitat on state-owned Wildlife Management Areas and developing/improving models to predict avian responses to future habitat management. The project will entail coordination of an extensive field-based survey effort, and use of advanced population modeling tools to develop spatially explicit distribution maps and uncover the underlying mechanisms driving those patterns. This research is being conducted as part of a larger multi-taxa effort to understand the impacts of historical management activities on biodiversity of local wildlife and to inform future approaches to habitat management on state lands. As part of this effort, the student will have the opportunity to collaborate with a large team of AU faculty and graduate students, and biologists from the Alabama Department of Conservation and Natural Resources. The project will involve field-based sampling in 6 ecoregions (Interior Low Plateau, Southwestern Appalachians, Ridge and Valey, Piedmont, Southeastern Plains, and Southern Coastal Plain) throughout Alabama, the most biodiverse U.S. state east of the Mississippi River.<br>
The position begins fall semester of 2023 (August 16th). Prospective candidates should be highly motivated, interested in developing field- and computer-based skills, and have a strong background in one or more of the following areas: ecology, biology, zoology, wildlife, population modeling, species distribution modeling, or a related field.</p>
<p>Required Qualifications<br>
• Bachelor’s degree in Wildlife, Biology, Ecology, Zoology, or other closely related field<br>
• Strong communication skills in oral and written English<br>
• Ability to work independently and as part of an interdisciplinary team<br>
• Self-motivation, a positive attitude, and strong interpersonal skills</p>
<p>Desired Qualifications:<br>
• MS degree in Wildlife, Biology, Ecology, Zoology, or other closely related field<br>
• Experience presenting and publishing peer-reviewed research<br>
• Experience working with government agencies<br>
• Experience with logistical coordination of field work and personnel, avian point counts, population modeling, species distribution modeling, Bayesian data analysis, GIS software, and the R statistical programming language</p>
<p>Salary: $28,000 per year, plus tuition remission and benefits</p>
<p>How to Apply:<br>
Interested individuals should contact Dr. Jonathon Valente (jjv0016@auburn.edu) and Dr. Christopher Lepczyk (lepczyk@auburn.edu) with any questions. To apply, please state “Avian PhD Assistantship Position” in the email subject line to both addresses and include (1) a cover letter that states why you are interested in and qualified for the position, (2) a CV, (3) unofficial transcripts, (4) contact information for 3 references, and (5) TOFEL scores if applicable. Applications are due by April 16th, but we encourage you to apply as soon as possible because applications will be evaluated on a rolling basis. More information about our graduate program can be found here: <a href="https://cfwe.auburn.edu/graduate-study/graduate-degrees/">https://cfwe.auburn.edu/graduate-study/graduate-degrees/</a></p>Postdoctoral Researcher - Climate and Environmental Data Science (Nairobi, Kenya)2023-02-07T18:23:24.985940+00:002023-02-07T18:23:25.590800+00:00alee/users/3/https://www.comses.net/jobs/593/<p>The Alliance of Bioversity International (<a href="http://www.bioversityinternational.org">www.bioversityinternational.org</a>) and the International Center for Tropical Agriculture (CIAT) (<a href="http://www.ciat.cgiar.org">www.ciat.cgiar.org</a>) delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation.With novel partnerships, the Alliance generates evidence and mainstreams innovations to transform food systems and landscapes so that they sustain the planet, drive prosperity, and nourish people in a climate crisis.</p>
<p>The Alliance is part of CGIAR, a global research partnership for a food-secure future.</p>
<p>The Alliance is currently searching for a motivated and high performing Postdoctoral Researcher, specializing on climate and environmental data science, to support development of innovative and high-quality analytical solutions to help understand climate impacts, crop and location-specific risks and adaptation options, and inform relevant investments in sustainable agriculture and climate adaptation. The incumbent will contribute to developing analytical and modelling frameworks that integrate biophysical, ecological, and socio-economic domains to evaluate the impacts of various adaptation interventions, considering future drivers of change, such as climate change and economic growth. The Postdoctoral Researcher will design and implement model-based analyses will follow robust conceptual/theoretical frameworks based on recent literature and the IPCC Sixth Assessment Report and will be fully automated using software code (in R and/or Python), documented adequately to ensure replicability. The incumbent therefore will invest time in designing the analytical pipelines and identifying ways to store software code (through version control systems, R packages) and to document these analytical routines for use by others.</p>
<h2 id="key-responsibilities">Key Responsibilities</h2>
<p>In collaboration with partners of the One CGIAR Initiative on “Informing Sustainable Development pathway with Foresight and Data” design of climate data cube structure and data models to support integration of climate variability data. Leverage expertise from the Alliance and CGIAR on data architecture to design and automate ETL (Extract, Transform, Load) processes for the climate data cube that facilitates modeling.<br>
Perform, automate and document analysis of climate data trends and population of climate data cube(s).<br>
Development of geospatial data and models and resultant datasets to support incorporation of key themes (e.g., Biodiversity, farming systems) into other foresight analyses.</p>
<p>Work closely with project partners and other teams in the Alliance to design and perform data analysis for agroclimatic advisory design and deployment, climate risk assessment, through the operationalization of innovative methodologies that take consideration of partners’ and local stakeholder needs.</p>
<p>Contribution to quality assurance and quality control of climate and other related datasets used throughout the project cycle.<br>
Produce scientific papers for peer-reviewed journals and proceedings.</p>
<p>Requirements</p>
<ul>
<li>PhD Degree in Climate modeling, agricultural science, data science, environmental science, geography, or any related field with an understanding of climate related risks, climate impacts, and adaptation in agriculture.</li>
<li>Extensive familiarity and experience working with climate model outputs (e.g., CMIP5/6), historical climate data (e.g., station data, CHIRPS), various remote sensing data and related datasets such as crop yield data, soils data, etc.</li>
<li>Deep analytics experience using common open-source tools such as R, Python and corresponding spatial libraries (e.g. gdal/ogr, terra, sf, rasterio), and cloud compute platforms such as Google Earth Engine, Microsoft Planetary Computer.</li>
<li>Understanding of CMIP6 climate data structures such as NetCDF and Zarr, as well as familiarity with a variety of climate science related libraries including those used in cloud computing of climate data.</li>
<li>Experience summarizing climate data trends and climate variability at various spatiotemporal scales using common indices and metrics.</li>
<li>Expertise in modeling approaches that uses climate and other environmental data as input, such as maxent, random forest, Ecocrop, and in integrating other model results (e.g., crop models) with spatial datasets.</li>
<li>Familiarity with RS-derived land use and biodiversity datasets, and landscape metrics.</li>
<li>Strong teamwork, interpersonal and communications skills; courtesy, tact, and the ability to establish and maintain effective working relationships with people of different cultural and national backgrounds.</li>
<li>Excellent command of English language, both written and spoken.</li>
<li>Strong analytical and synthesizing skills; ability to think and write clearly and concisely on </li>
<li>Past experience in international agricultural research.</li>
<li>Experience with interdisciplinary research.</li>
<li>Peer-reviewed publications.</li>
<li>Experience using cloud computing infrastructure for computing and storage a plus.</li>
<li>Experience with Google Earth Engine a plus.</li>
<li>Highly developed skills with personal organization and priority setting.</li>
<li>Ability to work with a high degree of independence within assigned areas complemented by sound judgment and initiative, and the ability to maintain structured and ad hoc communications with supervisors and colleagues to seek guidance.</li>
<li>Willingness and enthusiasm to learn and practice new technologies as needed.</li>
</ul>10-week Undergraduate Research Experience: Disinformation Detection & Analytics2023-02-02T23:49:15.555439+00:002023-02-02T23:49:16.145095+00:00effryden/users/1451/https://www.comses.net/jobs/592/<p>We are looking for diverse participants for a paid, hands-on summer research experience to learn more about the real-world impacts of disinformation. Students will choose topics that align with faculty expertise and pursue research projects that advance their skills in valuable STEM areas including data science, data analytics, information retrieval, applied machine learning, web archiving, and social computing. </p>
<p>Students will get close mentorship experience with participating faculty, whose diverse expertise ranges from computer science and engineering to higher education and social sciences. Participants will leave the program having acquired stronger computer skills, a network of like-minded students across different universities, and a support group of faculty mentors. </p>
<p>If you have students who you think would benefit from this type of research experience, please feel free to share the attached flyer. Below you can also find qualification information and dates that may help students determine if it’s a good fit.<br>
We are happy to discuss any questions you have. We look forward to reviewing the applications of the highly motivated students you recommend to the program. </p>
<p>Submit Applications at <a href="https://www.nsfetap.org/award/232/opportunity/761">https://www.nsfetap.org/award/232/opportunity/761</a> <br>
Program Dates: June 05 - August 05, 2023 <br>
Qualifications <br>
• Must be a US citizen, national, or permanent resident. <br>
• Must be a student enrolled (during the program period) in a degree program towards a bachelor’s degree. <br>
• Women, under-represented minorities, and students with disabilities are particularly encouraged to apply. <br>
• Ideal candidates would have some programming experience, but we encourage excellent candidates from all backgrounds to apply. <br>
Benefits <br>
• The stipend of $6000 <br>
• Free housing and meals are provided on campus. <br>
• Up to $600 in travel support to Norfolk <br>
For more information and the link to apply, visit <a href="https://reu.cs.odu.edu/">https://reu.cs.odu.edu/</a> </p>2 - year postdoctoral position on Participatory Modelling at ICTA, Barcelona2023-01-17T12:01:53.958178+00:002023-01-17T12:01:54.220203+00:00ireperez/users/239/https://www.comses.net/jobs/591/<p>We are looking for a postdoctoral researcher to lead a participatory modelling study that analyses the vulnerability of Spanish rural communities to the compounded effects of climate change, depopulation and agricultural trade, and explores the feasibility and effectiveness of vulnerability mitigation policies. The models will address the pathways through which, e.g., the migration of younger generations to urban areas affects the abandonment of agricultural,husbandry and forestry activities, land-use concentration and intensification, biodiversity loss<br>
and/or the sensitiveness of rural landscapes to rainfall variability and droughts.</p>
<p>The postdoc will start as soon as possible and work within the SUSTAIN project, hosted at the Environmental Science and Technology Institute (ICTA, Universitat Autònoma de Barcelona) and funded by the Spanish Ministry of Science and Innovation.</p>Post-Doctoral Scholar Agent Based Modeling of Least Bell’s Vireo Populations2023-01-07T17:51:15.147543+00:002023-01-07T17:52:03.450446+00:00pzollner/users/3578/https://www.comses.net/jobs/590/<p>Title: Implementation of a complex agent-based model to address the effects of interacting ecological stressors and alternative management strategies on an endangered species</p>
<p>Institution: Purdue University, Department of Forestry and Natural Resources </p>
<p>Location: Purdue University West Lafayette, IN is preferred. However, we will consider hybrid and remote work models.</p>
<p>Job Category: Post-Doctoral Scholar</p>
<p>Salary: Commensurate with standards for post-doctoral scholars in the Department of Forestry and Natural Resources at Purdue University the starting salary will be at least $47,500 annually for the first year with opportunities for raises during subsequent project years. The position includes benefits typical for post-doctoral scholars at Purdue (<a href="https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php">https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php</a>).</p>
<p>Duration of Appointment: Applicant will be hired for a minimum of one year. Funding is available to support a post-doctoral scholar for the four-year duration of this project pending approval of additional funds after the completion of the first two project years.<br>
Pertinent Websites: <a href="https://serdp-estcp.org/projects/details/89fdcf5b-0c44-41f9-af97-fd1d45908863/rc22-3216-project-overview">https://serdp-estcp.org/projects/details/89fdcf5b-0c44-41f9-af97-fd1d45908863/rc22-3216-project-overview</a> and <a href="https://www.purdue.edu/fnr/sites/zollner/">https://www.purdue.edu/fnr/sites/zollner/</a> </p>
<p>Start Date: As Soon As Possible. </p>
<p>Project Description: The federally endangered Least Bell’s Vireo (LBVI, Vireo bellii pusillus) nests in narrow riparian areas surrounded by the heavily urbanized matrix of Southern California. Several of the largest remaining patches of LBVI nesting habitat occur on US Department of Defense (DoD) military installations and in US Army Corps of Engineers (USACE) flood control basins. Expenses for ESA compliance related to LBVI are among the highest of all listed bird species, with widespread operational and financial impacts on federal action agencies and military installations. A complex array of threats and stressors interact to threaten LBVI populations, including groundwater extraction, loss of streamflow inputs due to water recycling programs, changing flood and fire regimes, nest parasitism by brown-headed cowbirds (Molothrus ater), and negative impacts to riparian vegetation from invasive non-native plants and insects. One challenge in developing management strategies for recovery is understanding how different stressors may interact, particularly with emerging threats like new invasive species or major changes in disturbance regimes due to climate change. A ~25-minute video describing this project in more detail can be viewed at this link (<a href="https://youtu.be/c0DQPcSk-Qg">https://youtu.be/c0DQPcSk-Qg</a>). The goal of this research project is to develop an individual/agent-based modeling tool that integrates sub-models reflecting different stressors, and synthesizes those sub-models to understand the relative effectiveness of a range of PI- and stakeholder-generated management scenarios. </p>
<p>Position Description/Project Role: The selected post-doctoral scholar will work closely with PhD students in the labs of Dr. Pat Zollner and Dr. Jeff Holland as well as with all project Co-PIs (see below) throughout the model development cycle to design, document, implement in code, and analyze outputs from a complex agent-based model. Specifically, successful applicants will have the following skills and experience:</p>
<p>1) Collaborative design and development (in code) of an agent-based model that will integrate sub-models developed by multiple collaborators on the project team. The ability to plan for this integration, maintain a code base, and help collaborators develop models that will fit seamlessly into a global model will be critical;</p>
<p>2) Ability to run agent-based modeling software at scale, so that a complex model with thousands of interacting agents can be run hundreds, if not thousands, of times for different analyses working on a computing cluster and/or using cloud-based resources. This skill is required for model testing, calibration, sensitivity analysis, and applied analyses to simulate many stakeholder or researcher-driven alternative management scenarios to assess their relative effectiveness; and</p>
<p>3) Strong code documentation skills (e.g., modeling notebooks, comments in code) will be required, as well as the commitment to work with all on the project team to follow documentation formats specific to agent-based models (ODD, TRACE).<br>
This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling and quantitative wildlife conservation. The position provides relevant experience for a career trajectory within a government agency or a research career at a university or NGO. The post-doctoral scholar will be supervised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). They will collaborate with; Dr. Richard Fischer from the US Army Engineer Research and Development Center, Mr. Casey Lott Conservation Science and Data Visualization, LLC, Dr. Jeffrey Holland Purdue University Department of Entomology, and Ms. Melissa Rohde of Rohde Environmental Consulting LLC.</p>
<p>Specific Duties: The post-doctoral scholar will serve as the hub coordinating the design and code compatibility of sub-models from all project collaborators. They will play a critical role in designing and coding the overarching model that integrates sub-models related to different stressors as well simulation experiments that investigate the interactive effects of those stressors and their implications for management activities. Responsibility for specific tasks will be assigned on a case-by-case basis and the post-doctoral scholar will work closely with the PhD students and project Co-PIs on all aspects of this project.</p>
<p>How to Apply: Interested applicants should compile all of the following materials into a single pdf file; a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 5 questions (each of these responses should be 250 words or less). </p>
<ol>
<li>Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.</li>
<li>Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.</li>
<li>What motivates you to pursue post-doctoral scholarship, and how will participation in this project prepare you to achieve your career goals?</li>
<li>Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.</li>
<li>What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?</li>
</ol>
<p>That single pdf should be attached to an email that has a subject line of “Application for Post-Doctoral Scholar on Least Bell’s Vireo ABM”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation. Application review will begin on January 16 of 2023 and continue until a suitable applicant is hired for the position.</p>
<p>Qualifications: PhD in Computer Programming, Software Engineering, or a related field with an interest in conservation of endangered species. Alternatively, PhD in Ecological Modelling, Wildlife Biology or a related discipline with experience in Agent Based Modeling.</p>
<p>When preparing materials (statement of interest & response to 5 questions) applicants should explicitly address their demonstrated organizational skills, interest/background in individual/agent-based modeling, quantitative skills, and their ability to mentor others. Applicants should be highly motivated with a demonstrated ability to work independently and collaboratively. The post-doctoral scholar that we hire should be able to readily interact with partners including government agencies across many levels as well as non-governmental organizations. Applicants with experience publishing peer-reviewed journal articles, a strong work ethic, demonstrated technical writing ability, training in ecological modeling, excellent interpersonal skills, demonstrated skill or skill potential in quantitative ecology and proficiency in R will be most competitive. Experience developing individual/agent-based models in NetLogo or equivalent platforms, knowledge related to optimizing solutions to network structure challenges, familiarity with conservation challenges faced by LBVI, as well as candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p>Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs in wildlife and ecology. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and year-long community festivals and art events.</p>
<p>Contact Persons: Dr. Patrick Zollner <br>
Contact Phones: (765) 430-7858<br>
Contact e-mails: pzollner@purdue.edu</p>Postdoctoral Research Assistant in Agent-Based Modelling (University of Oxford)2023-01-03T22:36:50.120028+00:002023-01-03T22:36:50.365975+00:00kaclaborn/users/3304/https://www.comses.net/jobs/589/<p>We are seeking to appoint a Postdoctoral Research Assistant (PDRA) for a continuing interdisciplinary project to build an agent-based model (ABM) to represent the extraction of fish by fishing vessels in open ocean fisheries and the associated effects on ocean ecological systems. The goal of this effort will be to identify pragmatic fisheries management strategies tailored both to the complexity of the ocean ecosystem, and the limitations of social, economic and regulatory systems. This position is based in the School of Geography and the Environment, University of Oxford. This project is a collaboration between University of Oxford, Ocean Conservancy (Washington DC, USA) and other universities and fisheries management bodies. The post is initially for a 12-month period, during which time the PDRA will have the opportunity to work closely with these partners, making visits as necessary, as well as with practitioners, interdisciplinary experts, and advocates from a range of academic institutions and public agencies. The various partners will provide expertise in fisheries management/policy/economics, ocean ecology, model-building, and data analysis.</p>
<p>The successful applicant will be expected manage their own research and administrative activities and to assist in the production of published material, and grant-writing to support the ongoing development of the project. This project will provide the opportunity to experience first-hand how-to bring research into practical application, connect with top researchers, policy experts, practitioners and business leaders, and contribute to meaningful and timely solutions for the world’s oceans and fisheries.</p>
<p>You will hold, or be close to completion of, a Doctorate in an applied quantitative subject (e.g. computer science, applied mathematics, economics, physics, engineering, quantitative ecology) or equivalent research experience in a relevant subject. You will have expertise in agent-based model building and application, wider software development skills and a strong quantitative background. You will have excellent communication and interpersonal skills. The ability to manage your own academic research and associated activities is essential.</p>
<p>Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE and SSEE are committed to equality and value diversity.</p>
<p>Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.</p>
<p>The closing date for applications is 12.00 noon on Monday 16 January 2023, and interviews are likely to be held in late January 2023.</p>
<p>Formal job posting at <a href="https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=161964#">https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=161964#</a></p>Research Associate in Computational Social Simulation (University of Glasgow)2023-01-03T22:29:25.741515+00:002023-01-03T22:29:25.875657+00:00kaclaborn/users/3304/https://www.comses.net/jobs/588/<p>Job Purpose</p>
<p>To make a leading contribution to the research and data service activities of the UKRI-ESRC-funded Urban Big Data Centre (UBDC). Specifically, working with Professor Alison Heppenstall, the job requires a background in computational modelling, particularly individual-based modelling approaches (agent-based modelling and microsimulation) within the area of urban analytics and social simulation. You will develop individual-level models, together with the underpinning methods, that capture and simulate the dynamic relationships between individuals and how these play out over time and space under a range of different scenarios. You will play a leading role in the production of research publications and research proposals, and contribute to the development of UBDC’s Digital Footprints Data Service. You will help manage and direct complex and challenging projects, as opportunities allow.</p>
<p><em>Main Duties and Responsibilities:</em></p>
<p>Perform the following activities in conjunction with the Principal Investigator (PI) as appropriate:</p>
<ul>
<li>Take a leading role in the planning and conduct of assigned research and data service activities, taking responsibility for a core element as appropriate, in accordance with UBDC objectives and Centre/School/College/University research strategy.</li>
<li>Develop individual based models (microsimulation, agent-based modelling) to simulate the impact of different scenarios.</li>
<li>Deal with data from a range of partners, including undertaking data analytics, manipulation and linkage, maintaining records and databases, drafting progress reports and papers as appropriate.</li>
<li>Write up research findings/outcomes for publication in leading journals for disseminations as appropriate. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting progress reports and papers as appropriate.</li>
<li>Establish and maintain a personal research profile and reputation, and enhance that of the Centre/School/College/University. Establish and sustain a track record of independent and joint publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, gathering indicators of esteem and identifying opportunities for knowledge exchange.</li>
<li>Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy.</li>
<li>Present work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance the research profile of the Centre/School/College/University.</li>
<li>Take a leading role in the identification of potential funding sources and assist in the development of proposals to secure funding from internal and external bodies, planning and developing a line of research activities.</li>
<li>Take a leading role in developing and maintaining collaborations with colleagues across the project and in the broader Centre/School/College/University and wider community (e.g. Academic and other collaborators/partners).</li>
<li>Take a leading role in team/group meetings/seminars/workshops and School research group activities to enhance the wider knowledge, outputs and culture of the Centre/School/College/University.</li>
<li>Take a leading role in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.</li>
<li>Perform administrative tasks related to the activities of the project, Centre and School, including budgets/expenditure.</li>
<li>Contribute to elements of teaching within a clear and established programme and carry out associated admin as assigned by the Head of School and in consultation with PI.</li>
<li>Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory.</li>
<li>Undertake any other duties of equivalent standing as assigned by the Head of School and/or PI.</li>
<li>Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan - Inspiring People – Changing the World. <a href="http://www.gla.ac.uk/about/strategy/people/">http://www.gla.ac.uk/about/strategy/people/</a></li>
</ul>
<p><em>Knowledge/Qualification</em></p>
<p>Essential:<br>
A1 Scottish Credit and Qualification Framework level 12 (PhD) in computer science, statistics, mathematics, quantitative social science, or equivalent in professional qualifications and experience with evidence of personal development in similar role.<br>
A2 Specialist theoretical and practical knowledge of computational modelling approaches within the area of urban analytics and social simulation.<br>
A3 Sufficient breadth and/or depth of knowledge in specialist subject and of quantitative research methods and techniques to work within the subject area.</p>
<p>Desirable:<br>
B1 Knowledge of project-specific data sources<br>
B2 Knowledge of specialist IT software as appropriate<br>
B3 Extensive IT and data analysis/interpretation skills as appropriate<br>
B4 Self-motivation, initiative and independent thought/working</p>
<p><em>Skills</em></p>
<p>Essential:<br>
C1 Ability to analyse and organise resources in order to manage time and workload effectively.<br>
C2 Research creativity and strong cross-discipline collaborative ability as appropriate.<br>
C3 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a level appropriate to the activity, including public presentations.<br>
C4 Ability to apply policy, practice and procedures including broader University/sector external (e.g. commercial) awareness.<br>
C5 Proven initiative and judgement to resolve problems independently and/or as part of a team.<br>
C6 Good leadership skills including demonstrable supervisory skills as appropriate.</p>
<p><em>Experience</em></p>
<p>Essential:<br>
E1 Sufficient depth of relevant research experience normally including sufficient postdoctoral experience in a related field<br>
E2 Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement.<br>
E3 A track record of presentation and publication of research results in quality journals and/ or at conferences.<br>
E4 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers.</p>
<p>Desirable:<br>
F1 An emerging national or international reputation in research.</p>Postdoc in Glasgow: Agent Based Modelling, school social networks and mental health2022-12-19T19:56:50.771169+00:002022-12-19T19:56:50.859746+00:00kaclaborn/users/3304/https://www.comses.net/jobs/586/<p>You will contribute to the SOCITS project: A socially situated systems approach to youth mental health, working with principal investigator, Dr Mark McCann, and an interdisciplinary team from the University of Glasgow, MRC/CSO Social and Public Health Sciences Unit, College of Social Sciences, School of Psychology and Neuroscience, and the Mental Health Foundation.</p>
<p>The successful candidate will develop Agent Based Models of positive and negative social interactions in secondary schools, and how these relate to experiences of stress, loneliness, mental health stigma, and mental wellbeing. The postdoc will work with Corinna Elsenbroich and Emily Long as part of the ABM work package, collaborate with Youth Advisor Investigators and researchers conducting qualitative interviews, participate in multidisciplinary systems workshops with young people, and work with quantitative social network analysts and experts in Situated Assessment Methods collecting new data as part of the project. The project will involve developing and delivering advanced training in the SOCITS methodology.</p>
<p><em>Main Duties and Responsibilities</em></p>
<p>Perform the following activities in conjunction with and under the guidance of the Principal/Co Investigators:</p>
<ol>
<li>Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.</li>
<li>Document research output including model documentation, analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.</li>
<li>Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Research Group, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.</li>
<li>Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.</li>
<li>Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.</li>
<li>Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the research Group/School/College/University and wider community.</li>
<li>Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.</li>
<li>Carry out modest Teaching activities [e.g. demonstrating] and associated admin as assigned by the Head of School and in consultation with Principal Investigator.</li>
<li>Keep up to date with current knowledge and recent advances in the field/discipline.<br>
10.Engage in continuing professional development activities as appropriate.<br>
11.Undertake any other reasonable duties as required by the Head of School/Director of Research Institute.</li>
<li>Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World Changers Together.</li>
</ol>Competitive Ph. D. opportunity: Models of Sustainable Living (University of Glasgow & The James Hutton Institute)2022-12-19T19:53:34.441236+00:002022-12-19T19:53:34.497249+00:00kaclaborn/users/3304/https://www.comses.net/jobs/585/<p>The aim of the proposed Ph. D. project is to develop and evaluate alternative scenarios for spatially dispersed Net Zero lifestyles that entail viable rural communities and economies; with the viability being demonstrated through spatial agent-based social simulation. The following research questions could be investigated in pursuit of this aim, though the student will be encouraged to develop these questions themself:</p>
<ol>
<li>How does simulating social complexity affect findings from spatial interaction modelling? Does it exacerbate or ameliorate the pull of urban areas? Can we use agent-based models to ‘grow’ the emergence of urban areas with greater pull?</li>
<li>What are the trade-offs between the sustainability gains from densification and the losses from addressing health issues? Taking a whole-systems approach (i.e. bearing in mind food transportation, travel to see friends and family and for recreation, impact of health), how do energy consumption and greenhouse gas emissions per capita change with spatial density of human occupation?</li>
<li>What are the options for sustainable living that do not entail densification? How could extra environmental costs for transport, water, power, information and heating in less dense scenarios be compensated for? Are there alternative technologies that take advantage of opportunities not open to those living in compact spaces? Are there options that entail delivering in a different way some of the same benefits from land freed by densification?</li>
</ol>
<p>The main methods taken will be through a combination of literature review and computational modelling, with an emphasis on agent-based modelling. The student will be encouraged to develop and take ownership of the project aim and research questions, including modelling approach, with the proviso that the approach taken does justice to social complexity and takes a whole systems perspective.</p>
<p>The main activities in the first 12-18 months of the project will be reviewing relevant interdisciplinary literature, training on modelling methodologies (especially agent-based modelling) and underpinning technology and infrastructure, and developing and refining a prototype agent-based model to address the first of the above research questions.</p>
<p>This 4 yr PhD project is part of a competition jointly funded by The James Hutton Institute and the University of Glasgow. This opportunity is open to UK and International students and provides funding to cover stipend and UK level tuition only. </p>PhD position on flood resilience studies (Ludwig-Maximilians-Universität Munich (LMU))2022-12-19T19:50:28.016739+00:002022-12-19T19:50:28.153195+00:00kaclaborn/users/3304/https://www.comses.net/jobs/584/<p>The Chair in Human Geography at the Department of Geography offers a PhD student position to support the research activities in the context of the European Research Council (ERC) project STORIES (ID: 101040939), led by Dr. Liang Emlyn Yang. This is a 5-year research project that will investigate the dynamic interactions of floods impacts and social resilience in the Mekong River basin. Based on the project, a small team will be established to do pioneering and impactful science on climate resilience.</p>
<p><em>Your tasks and responsibilities:</em></p>
<ul>
<li>The PhD student will carry out case studies at the upstream of Mekong River (Lancang River), particularly in Yunnan and Sichuan of China.</li>
<li>The PhD student will take an essential role in the implementation of field investigation, expert interviews, household surveys, local workshops, and data collections from various sources.</li>
<li>The PhD study shall explore flood resilience based on the case studies, by applying Agent-Based Model and/or Social Network Analysis under supervision.</li>
<li>Scientific publications in peer-reviewed journals are expected from the results and findings of the case studies.</li>
</ul>
<p><em>Your qualifications:</em></p>
<ul>
<li>Master’s degree is required to start the PhD study, with an education background in geography or a related discipline such as spatial planning, environmental studies, hydrology, geo-informatics sciences, sociology or development studies.</li>
<li>Willingness to travel for work (field investigations, project meetings, workshops etc.) in China, Vietnam, and other Mekong basin areas is necessary.</li>
<li>Proven skills in qualitative as well as quantitative social science research methods are required.</li>
<li>Strong skills in project management, workshop moderation and organization are required.</li>
<li>Excellent English language skill (written and oral) is prerequisite.</li>
</ul>
<p><em>Contact:</em></p>
<p>Applications shall be compiled into one PDF document that includes a motivation letter, detailed CV, list of publications, a brief research proposal (2-3 pages), supporting documents and certificates, and contact details of at least two potential references. Interested applicants are invited to submit their applications by email to emlyn.yang@lmu.de.<br>
The interviews with short-listed candidates are scheduled for the end of January 2023. For further information or to discuss the positions please contact Dr. Liang Emlyn Yang by email emlyn.yang@lmu.de.</p>Postdoc position on modeling flood resilience (Ludwig-Maximilians-Universität Munich (LMU))2022-12-19T19:48:12.209611+00:002022-12-19T19:48:25.854242+00:00kaclaborn/users/3304/https://www.comses.net/jobs/583/<p>The Chair in Human Geography at the Department of Geography offers a postdoctoral researcher position to support the research activities in the context of the European Research Council (ERC) project STORIES (ID: 101040939), led by Dr. Liang Emlyn Yang. This is a 5-year research project that will investigate the dynamic interactions of floods impacts and social resilience in the Mekong River basin. Based on the project, a small team will be established to do pioneering and impactful science on climate resilience.</p>
<p><em>Your tasks and responsibilities:</em></p>
<ul>
<li>The postdoc researcher will concentrate on methodological development of Agent-Based Model and/or Social Network Analysis for studying flood resilience, using case studies at the Mekong basin and also beyond.</li>
<li>The researcher will take a leading role in the development of scientific publications, organizing and supporting various activities of the project, participating in field work, and co-supervising junior researchers in the project team.</li>
<li>The researcher will also contribute to developing new research proposals in the broader field of climate resilience studies.</li>
</ul>
<p><em>Your qualifications:</em></p>
<ul>
<li>PhD degree is required to start the postdoc position, with an education background in geography or a related discipline such as spatial planning, environmental studies, hydrology, geo-informatics sciences, sociology or development studies.</li>
<li>The postdoc researcher must have strong skills and experiences in developing Agent-Based Model and/or Social Network Analysis. Proven skills in qualitative as well as quantitative social science research methods are required.</li>
<li>A strong publication track-record is expected in any research fields that are closely related to flood resilience or climate resilience studies.</li>
<li>Willingness to travel for work (field investigations, project meetings, workshops etc.) in China, Vietnam, and other Mekong basin areas is necessary.</li>
<li>Strong skills in project management, workshop moderation and organization are required.</li>
<li>Excellent English language skill (written and oral) is prerequisite.</li>
</ul>
<p><em>Contact:</em></p>
<p>Applications shall be compiled into one PDF document that includes a motivation letter, detailed CV, list of publications, a brief research proposal (2-3 pages), supporting documents and certificates, and contact details of at least two potential references. Interested applicants are invited to submit their applications by email to emlyn.yang@lmu.de. The interviews with short-listed candidates are scheduled for the end of January in 2023. For further information or to discuss the positions please contact Dr. Liang Emlyn Yang by email emlyn.yang@lmu.de.</p>Post-doc position at the Groningen Center for Social Complexity Studies (University College Groningen)2022-11-28T19:24:05.845828+00:002022-11-28T19:24:05.986773+00:00kaclaborn/users/3304/https://www.comses.net/jobs/582/<p>The research of the post-doc will be focusing at the modeling of human behaviour in selected cases of local social innovation (projects at neighborhood level). The HUMAT framework, developed in an earlier project (SMARTEES, see <a href="https://local-social-innovation.eu">https://local-social-innovation.eu</a>) will be used as architecture for developing a simulated population for selected cases. Empirical data will have to be collected and implemented to construct a valid and representative population. Simulation runs will produce different scenarios of a project implementation, and reveal how different citizens may experience and respond to such implementations. These runs will serve as input for workshops where citizens will jointly discuss the implementation of a project.</p>
<p><em>Qualifications</em></p>
<p>UCG is looking for candidates with the following credentials:</p>
<ul>
<li>a (nearly completed) PhD</li>
<li>experience in using social computational methods, in particular agent-based modeling</li>
<li>having an interest in social change towards sustainability</li>
<li>programming skills (preferably Netlogo)</li>
<li>experience in cross-disciplinary research</li>
<li>preferably experience in working in interdisciplinary (research) teams</li>
<li>team player and good communicator</li>
<li>excellent command of the English language and excellent writing skills.</li>
</ul>
<p><em>Competences of a postdoctoral researcher:</em></p>
<ul>
<li>conceptual capacity and creativity</li>
<li>social-environment orientation</li>
<li>presenting and writing skills</li>
<li>result orientation</li>
</ul>
<p><em>Organisation</em></p>
<p>Full title: Post-doc position at the Groningen Center for Social Complexity Studies (GCSCS), University College Groningen (UCG), The Netherlands 1.0 (FTE)</p>
<p>Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative Center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage the 36,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international place of knowledge.</p>
<p>The University College Groningen (UCG) is a faculty of the University of Groningen. The UCG community is internationally oriented, with staff and students from across the globe. UCG is primarily an educational faculty addressing global challenges from a multi disciplinary perspective. The GCSCS is being hosted by the UCG, and is connecting researchers from different faculties at the UG.</p>
<p><em>About the project and your contribution</em></p>
<p>The post-doc will work on the INCITE-DEM project. The INCITE-DEM project is a Horizon 2020 project aimed at simulating social dynamics in community-based projects. An existing modelling approach, called HUMAT, that has been developed in a previous EU project (SMARTEES, see <a href="https://local-social-innovation.eu">https://local-social-innovation.eu</a>) will be used to develop models of empirical cases. In the research project the aim is to study if such simulations of communities can contribute to a dialogue between people having different perspectives and interests in a project. In particular the inclusion of more vulnerable people in local democratic processes is at focus.</p>
<p>The project is envisaged to start in February or March 2023.</p>Postdoctoral Research Fellow in Urban Simulation (George Mason University)2022-11-28T19:21:00.361988+00:002022-11-28T19:21:00.540351+00:00kaclaborn/users/3304/https://www.comses.net/jobs/581/<p>The George Mason University Departments of Geography and Geoinformation Science and Computational and Data Sciences within the College of Science have an immediate opening for a multi-year postdoctoral fellow, subject to budgetary approval. This position will be part of a multi-institutional team participating in a funded research program. The GMU team is directed by Drs. Taylor Anderson, Hamdi Kavak, and Dieter Pfoser. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.</p>
<p>Mason Science is committed to advancing access, justice, equity, diversity, and inclusion (A-JEDI) throughout our STEM community, including within our hiring and retention practices. At Mason Science, our values include fostering an organizational culture that promotes anti-racism, belonging, respect, and civility. We believe that a diversity of opinions, cultures, and perspectives is what provides vibrancy, innovation and growth to an academic community. By prioritizing inclusive excellence in academics, teaching, research, and global engagement, we strive to attract a diverse pool of faculty and staff who exemplify the Mason Science mission and vision.</p>
<p><em>Responsibilities:</em></p>
<p>The primary job responsibilities of this position consist of the design, development, and refinement of an agent-based urban simulation framework that incorporates synthetic populations, realistic social behavior, and patterns of life. One of the main goals of this project is to create computationally efficient and plausible agent logic, thus allowing millions of agents to make decisions, find shortest paths between locations, and interact with their simulated world at the same time. For this purpose, implemented algorithms will need to be highly parallelizable, thus allowing to scale simulation using a cloud computing infrastructure. The successful candidate will have the opportunity to supervise graduate-level research assistants, collaborate with fellow scholars including a team of postdocs, and promote the accomplishments through publications, presentations, and other public events.</p>
<p><em>Required Qualifications:</em></p>
<ul>
<li>Ph.D. in computer science, data science, modeling & simulation, or closely related field;</li>
<li>Experience with Agent-Based Modeling and social simulation;</li>
<li>Strong programming skills in Java, Python or C++;</li>
<li>Excellent written communication skills demonstrated by prior publications; and</li>
<li>A track record that demonstrates the ability to work well with interdisciplinary research teams.</li>
</ul>
<p><em>Preferred Qualifications:</em></p>
<ul>
<li>Experience in design and implementation of software systems.</li>
</ul>
<p>For full consideration, applicants must apply at <a href="https://jobs.gmu.edu/;">https://jobs.gmu.edu/;</a> complete and submit the online application; and upload a cover letter, curriculum vitae (CV), and a list of three professional references with contact information.</p>Netlogo developer at the Naval Postgraduate School2022-11-16T15:33:35.059404+00:002022-11-16T15:33:35.309818+00:00upton92653/users/3775/https://www.comses.net/jobs/580/<p>Job Opportunity - Netlogo developer</p>
<p>The Department of Defense Management at the Naval Postgraduate School (NPS) seeks applications for a Faculty Associate – Research position to support the Center for Modeling Human Behavior. NPS is a fully accredited graduate school whose students are drawn from the armed forces and civilian agencies of the United States and other countries. CMHB is an interdisciplinary research center integrating advances in psychology, social science, computer modeling, and efficient experimental design to develop and leverage complex human behavior models to address modern defense and security challenges.</p>
<p>Job Description</p>
<p>The primary duties of the position will consist of working collaboratively to maintain and improve complex agent-based simulation models of human behavior in NetLogo. This will include general model improvements of existing models, designing and coding new model components, and research and experimentation with these models. It also includes participation in the development of research proposals, development of new models as new projects arise, improvement of model documentation, and dissemination of research through project reports and peer-reviewed publications. Performance of other typical faculty duties will also be required.</p>
<p>Minimum Qualifications</p>
<p>U.S. Citizenship;<br>
Master’s Degree or higher in a relevant degree program;<br>
Demonstrated aptitude for scientific research;<br>
Demonstrated ability to work with student researchers.</p>
<p>Additional Desired Qualifications</p>
<p>Competence in designing agent-based simulation models;<br>
Development experience in NetLogo;<br>
Ability to work independently and meet deadlines;<br>
Experience working collaboratively on complex modeling projects;<br>
Familiarity with general social science concepts;<br>
Familiarity with simulation experimental design and data analysis concepts.</p>
<p>This is a non-tenure-track position. The initial appointment will be a part-time position lasting 1 to 3 years with the potential for renewal, and is subject to available funding. The position is eligible for telework. Salary is commensurate with qualifications and experience. This is a federal government position. Benefits and entitlements may be found at <a href="https://www.opm.gov">https://www.opm.gov</a>.</p>
<p>For more details regarding this opportunity, you can contact:<br>
Dr. Susan Aros<br>
Department of Defense Management, Naval Postgraduate School<br>
Director, Center for Modeling Human Behavior, NPS<br>
Lead, The Crowd Dynamics Modeling Group at NPS<br>
Lead MORS Human Behavior and Performance Community of Practice<br>
skaros@nps.edu</p>
<p>Application package</p>
<p>Please send application to DDM Chair Ray Jones at BUSAPP@nps.edu including:</p>
<p>Cover letter<br>
Curriculum vitae<br>
If currently in a PhD program: Letter of recommendation<br>
Applications will be accepted beginning immediately and until December 11th, 2022.</p>
<p>NOTE: IF YOU ARE A VETERAN, you are strongly encouraged to identify your Veterans’ Preference on your resume or elsewhere in your application package (type of preference, dates of service, date of VA letter, character of service, etc.) </p>
<p>Additional Veterans’ information: If you are not sure of your preference eligibility, visit the Department of Labor’s website: <a href="https://webapps.dol.gov/elaws/vets/vetpref/mservice.htm">https://webapps.dol.gov/elaws/vets/vetpref/mservice.htm</a></p>
<p>For more veterans’ preference information, visit: <a href="https://www.fedshirevets.gov/job-seekers/veterans-preference/">https://www.fedshirevets.gov/job-seekers/veterans-preference/</a></p>
<p>The Naval Postgraduate School is an Equal Opportunity/Affirmative Action employer.</p>
<p>Additional information about NPS is available at <a href="http://www.nps.edu">http://www.nps.edu</a>, and about CMHB is available at <a href="https://nps.edu/web/cmhb">https://nps.edu/web/cmhb</a>.</p>Research fellow (University of York UK): Microsimulation and economic evaluation of childhood policies2022-11-10T19:21:38.502016+00:002022-11-10T19:21:51.472845+00:00kaclaborn/users/3304/https://www.comses.net/jobs/579/<p>The Centre for Health Economics (CHE) at the University of York is seeking to appoint a Research Fellow (Grade 6) to conduct microsimulation and economic evaluation of the long-term health and wellbeing impacts of childhood policies, on a full-time open contract (part-time applications will also be considered with a minimum of 0.8 FTE). </p>
<p>This is an ideal opportunity for an ambitious postgraduate interested in using economics and data science to help improve human health and wellbeing and reduce inequalities.</p>
<p><em>Role</em></p>
<p>The Research Fellow will work within the cross-departmental Equity in Health Policy (Equipol) group and the Team for Economic Evaluation and Health Technology Assessment (TEEHTA). Initially, they will support the LifeSim long-term childhood policy modelling programme, including the UK PRP ActEarly Programme and a new UKRI project on Long-Term Modelling Tools for Adolescent Health and Wellbeing Research. Over time, however, they will contribute to a range of projects in economic evaluation and data science.</p>
<p>Role holders will be required to undertake some or all of the duties below:</p>
<ul>
<li>Work closely with an experienced modeller to design and programme microsimulation models</li>
<li>Use microsimulation models to conduct economic evaluation of childhood interventions</li>
<li>Conduct individual and collaborative research projects, including analysis and interpretation of research data; use of appropriate research techniques and methods; writing up of research results and dissemination activities.</li>
<li>Undertake methodological research in health economics and develop research ideas in alignment with CHE’s research strategy. </li>
<li>Contribute to the delivery of CHE’s short courses as required.</li>
<li>Initiate and develop collaborative working and foster internal/external networks.</li>
</ul>
<p><em>Skills, Experience, Knowledge & Qualifications needed</em></p>
<ul>
<li>Master’s level qualification in economics or other quantitative subject (e.g. computing, data science, physics, statistics).</li>
<li>Evidence of strong quantitative skills in statistics and computer programming.</li>
<li>Interest in and enthusiasm for research on childhood policy, health inequalities and economic evaluation.</li>
<li>Strong communication skills, both oral and written.</li>
<li>Experience of carrying out independent and collaborative research.</li>
</ul>PhD in agent-based modelling of urban economic segregation (TU Delft)2022-10-31T21:10:44.310295+00:002022-10-31T21:10:44.470982+00:00kaclaborn/users/3304/https://www.comses.net/jobs/578/<p>Economic resources (typically wealth and income) are distributed very unevenly among people. In parallel, people with similar economic levels tend to concentrate spatially, in similar cities, in cities of similar sizes, and in similar neighbourhoods, in which case we call it urban segregation. Economic inequality and urban segregation are considered top priority challenges by the United Nations. Tackling them is urgent because economic inequality and urban segregation restrict the ability of the poorest individuals to get by in life, but they also affect life expectancy, social justice and cohesion for everyone.</p>
<p>One way to understand and address urban economic segregation is to model their dynamics, and run policy scenarios on how to reduce it. An abundant literature uses statistical modelling for that purpose, and struggles to assess causality in the processes at play. A complementary approach to statistical modelling is generative modelling and the simulation of causal rules of action on an articial society of computational agents. Agent-based modelling, whilst far from dominant, has long proven its potential to represent diverse societies of individuals and the emergence of unexpected collective behaviours in the field of economic inequality and spatial segregation (cf. Schelling or Sugarscape for basic examples).</p>
<p>This PhD represents an exciting opportunity to develop cutting edge methods of agent-based model building and analysis on a socially relevant topic. You will be expected to translate theoretical mechanisms of economic inequality and segregation into programmable rules of actions for agents within an agent-based model. You will implement these mechanisms and integrate them into a modular agent-based model. This (multi-)model will be initialized, calibrated and validated against unique empirical microdata (i.e. the exhaustive register data from the Dutch register, provided by CBS). The ambition is to create a theoretically sound model which is able to represent and reproduce the evolution of economic segregation in The Netherlands over the past 10 years. Building blocks the model will correspond to the implementation of middle theories of how inequality and segregation are (re)produced through space. The calibrated model will be dedicated to compare policy scenarios of inequality reduction.</p>
<p>Modular model integration and reusable building blocks are a hot (and unresolved) topic of agent-based modelling at the moment. This case will present the challenge of involving multidisciplinary and multi-scale building blocks to integrate, but it will be backed by a strong theoretical support and exceptional individual, longitudinal, exhaustive and spatial data from CBS. The completion of this research program should therefore lead to three areas of innovation. First, you will advance research on economic inequality and urban segregation by providing a simulation tool that integrates multiscale explanations and provides scenarios of inequality reduction. This generative approach will complement the existing literature on economic inequality and urban segregation, which relies for the most part on statistical analysis of empirical data. Second, you will advance the current state of modelling methodology by approaching it from the start with the idea of reusable building blocks and their integration, from initialization to calibration, which is ambitious and new. Thirdly, you will find a way to calibrate the model with quality individual longitudinal and spatial microdata accessible from a secure environment.</p>
<p>You will be supported in this research by the PhD supervisor Dr. Clémentine Cottineau, the PhD promotors (Prof. Tatiana Filatova and Prof. Maarten van Ham) and a post-doctoral researcher to be recruited on the same project.</p>
<p><strong>Requirements</strong></p>
<p>The successful candidate for this position has: </p>
<ul>
<li>Completed a Masters degree in computation social science, analytical sociology, complex systems, urban studies, spatial economics, economic geography or other relevant fields linked to agent-based modelling and spatially orientated quantitative social science.</li>
<li>Ability to handle and combine the abstract concepts and theories of inequality and segregation.</li>
<li>Knowledge and experience in agent-based modelling (model building, analysis, evaluation).</li>
<li>Knowledge and experience of programming.</li>
<li>Interest in multidisciplinarity research.</li>
<li>Ability to work in a team, take initiative, be creative.</li>
<li>Excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS of 7.0 per sub-skill (writing, reading, listening, speaking). Native speakers will be exempt from the English test requirement, as well as, in principle, non-native applicants who have obtained an English-taught Master’s degree. </li>
</ul>
<p>Nice to have:</p>
<ul>
<li>Knowledge of the Dutch language or the willingness to learn as soon as possible.</li>
<li>Experience of linking agent based models with large empirical data (for instance for the Masters thesis).</li>
<li>Interest in open source software and scientific reproducibility.</li>
</ul>Social-Technical-Ecological Systems Agent-Based Modeller (James Hutton Institute)2022-10-24T18:27:26.622167+00:002022-10-24T18:27:26.727218+00:00kaclaborn/users/3304/https://www.comses.net/jobs/577/<p>We are looking for someone who can develop an area of work using agent-based models to explore circular economy scenarios, and who is interested in developing and delivering training courses on agent-based modelling. You will be contributing to Scottish Government-funded work on the Circular Economy and Large-Scale Modelling, working in interdisciplinary project teams to deliver policy-relevant insights. A systems thinker, you will have a passion for using your agent-based modelling skills to develop knowledge on transitioning to more sustainable, food secure and/or biodiversity-friendly futures. You will also be an excellent communicator, with an enthusiasm for presenting complex ideas to diverse audiences, and imparting knowledge to curious minds. You will have an interest in developing agent-based modelling methodology in collaboration with colleagues with diverse disciplinary backgrounds.</p>
<p><em>Main Purpose of Job</em></p>
<p>The purpose of the job is to undertake scientific research using agent-based models to explore scenarios in social-technical-ecological systems</p>
<p><em>Main Duties of Postholder</em></p>
<ul>
<li>Develop and use empirical agent-based models of social-technical-ecological systems to explore scenarios relevant to the Institute’s Scientific Challenges</li>
<li>Develop and use empirical agent-based models to explore policy-relevant circular economy scenarios</li>
<li>Prepare publications for the scientific literature</li>
<li>Prepare reports on research progress</li>
<li>Present findings at national and international meetings, workshops and conferences</li>
<li>Develop and deliver training resources on agent-based modelling</li>
<li>Seek, and participate in applications for, funding opportunities to cover future research</li>
</ul>
<p><em>Education/Experience/Skills</em></p>
<p><strong>Essential:</strong></p>
<ul>
<li>Ph. D., covering any of agent-based modelling, circular economy, empirical agent-based modelling in a topic area relevant to the Institute’s science challenges</li>
<li>Interest in developing agent-based modelling methodology</li>
<li>Interest in circular economy and Institute’s science challenges</li>
<li>Experience developing teaching and/or training resources</li>
<li>Ability to write computer programs</li>
<li>Ability to communicate complex ideas to diverse audiences</li>
<li>Ability to prepare articles for submission to scientific journals</li>
<li>Enthusiasm for working in interdisciplinary teams</li>
</ul>
<p><strong>Desirable:</strong></p>
<ul>
<li>Publications in scientific journals on circular economy, agent-based modelling (generally), or the application of agent-based modelling to food security, sustainability and/or biodiversity</li>
<li>Experience teaching agent-based modelling</li>
<li>Experience working in one or more interdisciplinary projects</li>
<li>Experience developing and experimenting with an agent-based model</li>
<li>Experience applying for research funding</li>
</ul>PhD position in the computational modelling of infectious disease dynamics2022-10-11T08:37:36.444424+00:002022-10-11T08:37:43.745174+00:00eahunter720/users/2850/https://www.comses.net/jobs/576/<p>Professor John Kelleher and Dr. Elizabeth Hunter are seeking PhD candidates to work with them on a fully funded project that focuses on computational modelling of infectious disease dynamics at TU Dublin, Ireland . Using computational modelling, the project aims to analyze how global and local connections and networks impact the spread of an infectious disease. The project will combine a number of methodologies such as network analysis, agent-based modelling, machine learning, and mathematical modelling. One potential focus of the project is on transportation networks and the importance of understanding how networks at different scales (town, country, global) impact the spread of an infectious disease with a particular focus on the susceptibility of Ireland. Applicants should have a 2.1 Hons BSc or international equivalent in computer science, mathematics or similar discipline. Deadline for applications is November 1, 2022. Any questions please email elizabeth.hunter@tudublin.ie</p>PhD opportunity in modelling on biowaste management and circular economy (LISC, Inrae, France)2022-10-07T18:43:15.748200+00:002022-10-07T18:44:08.768820+00:00kaclaborn/users/3304/https://www.comses.net/jobs/575/<p>Are you a modeller who wants to contribute to the circular economy for the management of bio-waste at the territorial level? And do you want to innovate how to simulate socio-technical changes? Then apply to this unique position at Inrae, Laboratory of Engineering for Complex Systems (LISC)</p>
<p>The LISC (Inrae) is looking for a PhD candidate in modelling on biowaste management and circular economy. The candidate will be appointed for 3-years to research how to better understand and accelerate the transition toward circular economy for the management of bio-waste at the territorial level, through innovative modelling approaches.</p>
<p>The carbon neutrality in 2050 and the energy transition requires the development of circular economies. This is particularly true for the management of waste at the territorial level. It challenges many actors and functions such as the collection and the transformation of the waste, as well as the decreasing of the consumption since the best waste is the one that is not produced. The student will take part in a project aiming to assist territories in the identification and co-construction of their transition trajectories towards a circular economy for the management of bio-waste through the analysis of territorial flows and territorial drivers of their management, while limiting environmental impacts.</p>
<p>The methodological focus is both:</p>
<ul>
<li>on developing a dynamic model, coupling an agent-based modelling approach (to represent the production of biowaste of households as well as their decision to reduce, recycle or sort their biowaste), to a metabolism approach to follow the flows of biowaste in the infrastructure in charge of collecting and transforming them;</li>
<li>on the extraction and the comparison of transition pathways toward a better circularity.</li>
</ul>
<p>Different urban and periurban regions will be studied and investigated through simulations.</p>
<p>You will work with Dr. Sylvie Huet within the Laboratory of Engineering for Complex Systems of Inrae (Clermont-Ferrand, France).</p>
<p><em>Requirements</em></p>
<p>We are looking for a candidate with an MSc in systems engineering, (technological) innovation management, computer science, or an adjacent field. Affinity with simulation modelling or programming is required; experience with agent-based or ODE modelling is an asset. An interest in social science would be appreciated. The candidate should enjoy working in multidisciplinary settings. The PhD candidate needs to be able to work independently and author research papers.</p>
<p><em>Conditions of employment</em></p>
<p>Doctoral candidates will be offered a 3-year period of employment. The job is located in Clermont-Ferrand (France) in the Auvergne-Rhône Alpes Inrae Center.</p>
<p>The gross salary is currently 1975 Euros/month and 2300 Euros/month from September, 1 st 2023 (included about 20% of taxes for social insurances). Complementary money can be given for covering transport or an additional social insurance.</p>
<p><em>Additional information</em></p>
<p>For more information about this vacancy, please contact Jean-Denis Mathias (jean-denis.mathias@inrae.fr) or Sylvie Huet (Sylvie.Huet@inrae.fr).</p>
<p><em>Application procedure</em></p>
<p>If you are interested, please apply before 31 December 2022 by emailing to Jean-Denis Mathias (jean-denis.mathias@inrae.fr) or Sylvie Huet (Sylvie.Huet@inrae.fr):</p>
<ul>
<li>Your CV</li>
<li>Motivation Letter</li>
<li>Official list of all courses followed during your BSc and MSc studies with grades;</li>
<li>Abstract of your MSc. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills.</li>
<li>Names and contact details of 2 references who may be contacted at a later stage in the selection procedure</li>
</ul>PhD Position (TU Delft) - Agent-Based Modelling of the Energy Transition2022-10-07T18:37:07.057508+00:002022-10-07T18:37:57.940578+00:00kaclaborn/users/3304/https://www.comses.net/jobs/574/<p>The TPM Energy Transition Lab is looking for a PhD candidate in agent-based modelling (ABM) on the energy transition. The candidate will be appointed for 4-years to research how to better understand and accelerate the energy transition through innovative modelling approaches. The PhD candidate studies how the energy behaviour of individuals, households, companies and other stakeholders relates to investment and use of energy technologies, but also perceptions about energy systems affect ongoing transition pathways and what this implies for the next decades.</p>
<p>The methodological focus is on developing reusable model building blocks for the energy transition and using those to study inverse generative simulations – possibly using machine learning techniques. This approach innovatively studies links between assumptions about how behaviour is operationalized (i.e., model structure) to what transition pathways may unfold (i.e., model outcomes). Through the case studies, we expect the candidate to interact actively with energy researchers from various related disciplines. The project will be conducted within the TPM Energy Transition Lab which enables many opportunities for collaboration within the university and beyond.</p>
<p><em>Requirements</em></p>
<p>We are looking for a candidate with an MSc in systems engineering, (technological) innovation management, computer science, or an adjacent field. Affinity with simulation modelling or programming is required; experience with agent-based modelling is an asset. The candidate should enjoy working in multidisciplinary settings. Some background in policy analysis, behavior, and (institutional) economics is helpful, but more so is the ability and willingness to acquire this knowledge. The PhD candidate needs to be able to work independently and author research papers. There are opportunities to teach and supervise students. As the ET Lab advocates transparency, teamwork, and open science, we expect candidates to support that.</p>
<p>Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.</p>
<p><em>Conditions of employment</em></p>
<p>Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.</p>
<p>Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.</p>
<p>If you are interested, please apply (at <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722</a>) no later than 31 October 2022 via the application button. Please submit the following:</p>
<ul>
<li>Your CV</li>
<li>Motivation Letter</li>
<li>Official list of all courses followed during your BSc and MSc studies with grades;</li>
<li>Abstract of your <a href="http://M.Sc">M.Sc</a>. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills.</li>
<li>Names and contact details of 2 references who may be contacted at a later stage in the selection procedure</li>
</ul>PhD Position (TU Delft) - Agent-Based Modelling of the Energy Transition2022-10-07T18:36:20.822140+00:002022-10-07T18:36:31.405137+00:00kaclaborn/users/3304/https://www.comses.net/jobs/573/<p>The TPM Energy Transition Lab is looking for a PhD candidate in agent-based modelling (ABM) on the energy transition. The candidate will be appointed for 4-years to research how to better understand and accelerate the energy transition through innovative modelling approaches. The PhD candidate studies how the energy behaviour of individuals, households, companies and other stakeholders relates to investment and use of energy technologies, but also perceptions about energy systems affect ongoing transition pathways and what this implies for the next decades.</p>
<p>The methodological focus is on developing reusable model building blocks for the energy transition and using those to study inverse generative simulations – possibly using machine learning techniques. This approach innovatively studies links between assumptions about how behaviour is operationalized (i.e., model structure) to what transition pathways may unfold (i.e., model outcomes). Through the case studies, we expect the candidate to interact actively with energy researchers from various related disciplines. The project will be conducted within the TPM Energy Transition Lab which enables many opportunities for collaboration within the university and beyond.</p>
<p><strong>Requirements</strong> <br>
We are looking for a candidate with an MSc in systems engineering, (technological) innovation management, computer science, or an adjacent field. Affinity with simulation modelling or programming is required; experience with agent-based modelling is an asset. The candidate should enjoy working in multidisciplinary settings. Some background in policy analysis, behavior, and (institutional) economics is helpful, but more so is the ability and willingness to acquire this knowledge. The PhD candidate needs to be able to work independently and author research papers. There are opportunities to teach and supervise students. As the ET Lab advocates transparency, teamwork, and open science, we expect candidates to support that.</p>
<p>Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.</p>
<p><strong>Conditions of employment</strong><br>
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.</p>
<p>Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.</p>
<p>If you are interested, please apply (at <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722</a>) no later than 31 October 2022 via the application button. Please submit the following:</p>
<ul>
<li>Your CV</li>
<li>Motivation Letter</li>
<li>Official list of all courses followed during your BSc and MSc studies with grades;</li>
<li>Abstract of your <a href="http://M.Sc">M.Sc</a>. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills.</li>
<li>Names and contact details of 2 references who may be contacted at a later stage in the selection procedure</li>
</ul>PhD Position (TU Delft) - Agent-Based Modelling of the Energy Transition2022-10-07T18:36:11.943851+00:002022-10-07T18:36:31.404961+00:00kaclaborn/users/3304/https://www.comses.net/jobs/572/<p>The TPM Energy Transition Lab is looking for a PhD candidate in agent-based modelling (ABM) on the energy transition. The candidate will be appointed for 4-years to research how to better understand and accelerate the energy transition through innovative modelling approaches. The PhD candidate studies how the energy behaviour of individuals, households, companies and other stakeholders relates to investment and use of energy technologies, but also perceptions about energy systems affect ongoing transition pathways and what this implies for the next decades.</p>
<p>The methodological focus is on developing reusable model building blocks for the energy transition and using those to study inverse generative simulations – possibly using machine learning techniques. This approach innovatively studies links between assumptions about how behaviour is operationalized (i.e., model structure) to what transition pathways may unfold (i.e., model outcomes). Through the case studies, we expect the candidate to interact actively with energy researchers from various related disciplines. The project will be conducted within the TPM Energy Transition Lab which enables many opportunities for collaboration within the university and beyond.</p>
<p><strong>Requirements</strong> <br>
We are looking for a candidate with an MSc in systems engineering, (technological) innovation management, computer science, or an adjacent field. Affinity with simulation modelling or programming is required; experience with agent-based modelling is an asset. The candidate should enjoy working in multidisciplinary settings. Some background in policy analysis, behavior, and (institutional) economics is helpful, but more so is the ability and willingness to acquire this knowledge. The PhD candidate needs to be able to work independently and author research papers. There are opportunities to teach and supervise students. As the ET Lab advocates transparency, teamwork, and open science, we expect candidates to support that.</p>
<p>Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.</p>
<p><strong>Conditions of employment</strong><br>
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.</p>
<p>Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.</p>
<p>If you are interested, please apply (at <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722</a>) no later than 31 October 2022 via the application button. Please submit the following:</p>
<ul>
<li>Your CV</li>
<li>Motivation Letter</li>
<li>Official list of all courses followed during your BSc and MSc studies with grades;</li>
<li>Abstract of your <a href="http://M.Sc">M.Sc</a>. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills.</li>
<li>Names and contact details of 2 references who may be contacted at a later stage in the selection procedure</li>
</ul>PhD Position (TU Delft) - Agent-Based Modelling of the Energy Transition2022-10-07T18:36:02.496015+00:002022-10-07T18:36:31.409914+00:00kaclaborn/users/3304/https://www.comses.net/jobs/571/<p>The TPM Energy Transition Lab is looking for a PhD candidate in agent-based modelling (ABM) on the energy transition. The candidate will be appointed for 4-years to research how to better understand and accelerate the energy transition through innovative modelling approaches. The PhD candidate studies how the energy behaviour of individuals, households, companies and other stakeholders relates to investment and use of energy technologies, but also perceptions about energy systems affect ongoing transition pathways and what this implies for the next decades.</p>
<p>The methodological focus is on developing reusable model building blocks for the energy transition and using those to study inverse generative simulations – possibly using machine learning techniques. This approach innovatively studies links between assumptions about how behaviour is operationalized (i.e., model structure) to what transition pathways may unfold (i.e., model outcomes). Through the case studies, we expect the candidate to interact actively with energy researchers from various related disciplines. The project will be conducted within the TPM Energy Transition Lab which enables many opportunities for collaboration within the university and beyond.</p>
<p><strong>Requirements</strong> <br>
We are looking for a candidate with an MSc in systems engineering, (technological) innovation management, computer science, or an adjacent field. Affinity with simulation modelling or programming is required; experience with agent-based modelling is an asset. The candidate should enjoy working in multidisciplinary settings. Some background in policy analysis, behavior, and (institutional) economics is helpful, but more so is the ability and willingness to acquire this knowledge. The PhD candidate needs to be able to work independently and author research papers. There are opportunities to teach and supervise students. As the ET Lab advocates transparency, teamwork, and open science, we expect candidates to support that.</p>
<p>Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.</p>
<p><strong>Conditions of employment</strong><br>
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.</p>
<p>Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.</p>
<p>If you are interested, please apply (at <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8722</a>) no later than 31 October 2022 via the application button. Please submit the following:</p>
<ul>
<li>Your CV</li>
<li>Motivation Letter</li>
<li>Official list of all courses followed during your BSc and MSc studies with grades;</li>
<li>Abstract of your <a href="http://M.Sc">M.Sc</a>. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills.</li>
<li>Names and contact details of 2 references who may be contacted at a later stage in the selection procedure</li>
</ul>Supply chain data science research positions at Northern Arizona University2022-10-06T21:06:24.214282+00:002022-10-06T21:06:24.443303+00:00alee/users/3/https://www.comses.net/jobs/570/<p>Dear Colleagues,</p>
<p>The <a href="https://fewsion.us/f4r/">FEWSION supply chain and critical infrastructure data science center</a> at NAU is hiring at all levels! Please forward this invitation along to anyone you think might benefit.</p>
<p>Read more and apply at: <a href="https://in.nau.edu/human-resources/current-job-openings/">https://in.nau.edu/human-resources/current-job-openings/</a></p>
<p>Contact Dr. Ruddell, benjamin.ruddell@nau.edu, with inquiries.</p>
<hr>
<p>Assistant or Associate Research Professor, #606632</p>
<p>SICCS and the FEWSION Project at Northern Arizona University seeks a non tenure track research professor at the assistant or associate level to lead research on North American supply chains and critical infrastructures, and in particular on the use of open source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and systems engineering theory and methods. The faculty member will collaborate and help lead multiple large interdisciplinary research teams who are studying this problem. Desired qualifications include a PhD in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field, along with strong quantitative, data analysis, programming, visualization, and scientific writing and communication skills.</p>
<p>–</p>
<p>Data Scientist, Senior #606665</p>
<p>Northern Arizona University in beautiful Flagstaff, Arizona seeks a Data Scientist (Senior) to lead research on North American supply chains and critical infrastructures, and in particular on the use of open-source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and related software workflow development and quantitative analysis in support of the FEWSION project, a large interdisciplinary team leading data science research for strategic supply chains and related policy. Analyzes, stores, and manages research data, including statistical analysis, informatics, and software design. Leads the obtainment, organization, analysis, and transformation of data into findings through statistical data analysis. Utilizes computer and data science concepts, computational research, and development principles to contribute to research objectives. Serves as a lead presenter of data through the use of visual representations to members of a team, including non-technology professionals. Minimum qualifications include a M.S. in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field, along with at least 4 years of relevant experience (including additional graduate training). Preferred qualifications include a Ph.D. and demonstrated excellence in data analysis, programming, visualization, and scientific writing and communication, in addition to specific experience analyzing supply chain and critical infrastructure data.</p>
<p>–</p>
<p>Postdoctoral Scholar, #606426</p>
<p>Dr. Benjamin Ruddell’s laboratory at Northern Arizona University seeks a postdoctoral researcher to perform research on North American supply chains and critical infrastructures, and in particular on the use of open source data fusion techniques to map and model those systems. The work involves data science, modeling, supply chain analysis, and systems engineering theory and methods. The postdoctoral researcher will have the opportunity to develop their research and communication skills by working with multiple large interdisciplinary research teams who are studying this problem. Desired qualifications include a PhD in Computer Science, Civil Engineering, Economics, or a related field, along with strong quantitative, data analysis, programming, visualization, and scientific writing skills.</p>
<p>–</p>
<p>Graduate Research Assistants, multiple</p>
<p>Train for your Ph.D. with the FEWSION team in either the Informatics and Computing Ph.D. (in SICCS) or the Earth Sciences & Environmental Sustainability Ph.D. (in SES) at NAU. Apply by November 2022 for full consideration in either program.</p>
<p><a href="https://nau.edu/ses/earth-sciences-and-environmental-sustainability-doctor-of-philosophy/">https://nau.edu/ses/earth-sciences-and-environmental-sustainability-doctor-of-philosophy/</a></p>
<p><a href="https://nau.edu/school-of-informatics-computing-and-cyber-systems/phd-informatics-and-computing/">https://nau.edu/school-of-informatics-computing-and-cyber-systems/phd-informatics-and-computing/</a></p>Post-Doctoral Scholar Agent Based Modeling of Least Bells Vireo Populations2022-09-22T20:33:27.466423+00:002022-09-22T20:33:28.677920+00:00pzollner/users/3578/https://www.comses.net/jobs/569/<p>Title: Implementation of a complex agent-based model to address the effects of interacting ecological stressors and alternative management strategies on endangered species</p>
<p>Institution: Purdue University, Department of Forestry and Natural Resources </p>
<p>Location: West Lafayette, IN </p>
<p>Job Category: Post-Doctoral Scholar</p>
<p>Salary: Commensurate with standards for post-doctoral scholars in the Department of Forestry and Natural Resources at Purdue University the starting salary is expected to be at least $47,500 annually for the first year with opportunities for raises during subsequent project years. The position includes benefits typical for post-doctoral scholars at Purdue (<a href="https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php">https://www.purdue.edu/gradschool/postdoctoral-studies/resources/index.php</a>).</p>
<p>Duration of Appointment: Applicant will be hired for a minimum of one year. Funding is available to support a post-doctoral scholar for the four-year duration of this project pending approval of additional funds after the completion of the first two project years.<br>
Pertinent Websites: <a href="https://serdp-estcp.org/projects/details/89fdcf5b-0c44-41f9-af97-fd1d45908863/rc22-3216-project-overview">https://serdp-estcp.org/projects/details/89fdcf5b-0c44-41f9-af97-fd1d45908863/rc22-3216-project-overview</a> and <a href="https://www.purdue.edu/fnr/sites/zollner/">https://www.purdue.edu/fnr/sites/zollner/</a> </p>
<p>Start Date: As Soon As Possible. </p>
<p>Project Description: The federally endangered Least Bell’s Vireo (LBVI, Vireo bellii pusillus) nests in narrow riparian areas surrounded by the heavily urbanized matrix of Southern California. Several of the largest remaining patches of LBVI nesting habitat occur on US Department of Defense (DoD) military training areas and in US Army Corps of Engineers (USACE) flood control basins. Expenses for ESA compliance related to LBVI are among the highest of all listed bird species, with widespread operational and financial impacts on federal action agencies and military installations. A complex array of threats and stressors interact to threaten LBVI populations, including groundwater extraction, loss of streamflow inputs due to water recycling programs, changing flood and fire regimes, nest parasitism by brown-headed cowbirds (Molothrus ater), and negative impacts to riparian vegetation from invasive non-native plants and insects. One challenge in developing management strategies for recovery is understanding how different stressors may interact, particularly with emerging threats like new invasive species or major changes in disturbance regimes due to climate change. A ~25-minute video describing this project in more detail can be viewed at this link (<a href="https://youtu.be/c0DQPcSk-Qg">https://youtu.be/c0DQPcSk-Qg</a>). The goal of this research project is to develop an individual/agent-based modeling tool that integrates sub-models reflecting different stressors, and synthesizes those sub-models to understand the relative effectiveness of a range of PI- and stakeholder-generated management scenarios. </p>
<p>Position Description/Project Role: The selected post-doctoral scholar will work closely with PhD students in the labs of Dr. Pat Zollner and Dr. Jeff Holland as well as with all project Co-PIs (see below) throughout the model development cycle to design, document, implement in code, and analyze a complex agent-based model. Specifically, successful applicants will have the following skills and experience:</p>
<p>1) Collaborative design and development (in code) of an agent-based model that will integrate sub-models developed by multiple collaborators on the project team. The ability to plan for this integration, maintain a code base, and help collaborators develop models that will fit seamlessly into a global model will be critical;</p>
<p>2) Ability to run agent-based modeling software at scale, so that a complex model with thousands of interacting agents can be run hundreds, if not thousands, of times for different analyses working on a computing cluster and/or using cloud-based resources. This skill is required for model testing, calibration, sensitivity analysis, and applied analyses to simulate many stakeholder or researcher-driven alternative management scenarios to assess their relative effectiveness; and</p>
<p>3) Strong code documentation skills (e.g., modeling notebooks, comments in code) will be required, as well as the commitment to work with all on the project team to follow documentation formats specific to agent-based models (ODD, TRACE).<br>
This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling, quantitative ecology, wildlife biology, conservation biology and ornithology. The position provides applied experience for a career trajectory in local, state, or federal agencies or a research career focused on the fields of quantitative ecology or conservation biology. The post-doctoral scholar will be advised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). The student’s research will be a collaboration with; Dr. Richard Fischer from the US Army Engineer Research and Development Center, Mr. Casey Lott Conservation Science and Data Visualization, LLC, Dr. Jeffrey Holland Purdue University Department of Entomology, and Ms. Melissa Rohde of Rohde Environmental Consulting LLC.<br>
Specific Duties: The post-doctoral scholar will serve as the hub coordinating the design and code compatibility of sub-models from all project collaborators. They will play a critical role in designing and coding the overarching model that integrates sub-models related to different stressors as well simulation experiments that investigate the interactive effects of those stressors and their implications for management activities. Responsibility for specific tasks will be finalized when the entire team is assembled but the selected post-doctoral scholar will be working closely with the PhD student on all aspects of this project.</p>
<p>How to Apply: Interested applicants should compile all of the following materials into a single pdf file; a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 5 questions (each of these responses should be 250 words or less). </p>
<ol>
<li>Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.</li>
<li>Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.</li>
<li>What motivates you to pursue post-doctoral scholarship, and how will participation in this project prepare you to achieve your career goals?</li>
<li>Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.</li>
<li>What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?</li>
</ol>
<p>That single pdf should be attached to an email that has a subject line of “Application for Post-Doctoral Scholar on Least Bell’s Vireo ABM”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation. Application review will begin as materials are received but no later than October 10 of 2022.</p>
<p>Qualifications: PhD in Ecological Modelling, Wildlife Biology or a related discipline. </p>
<p>When preparing materials (statement of interest & response to 5 questions) applicants should explicitly address their demonstrated organizational skills, interest/background in individual/agent-based modeling, quantitative skills, and their ability to mentor others. Applicants should be highly motivated with a demonstrated ability to work independently and collaboratively. The post-doctoral scholar that we hire should be able to readily interact with partners including government agencies across many levels as well as non-governmental organizations. Applicants with experience publishing peer-reviewed journal articles, a strong work ethic, demonstrated technical writing ability, training in ecological modeling, excellent interpersonal skills, demonstrated skill or skill potential in quantitative ecology and proficiency in R will be most competitive. Experience developing individual/agent-based models in NetLogo or equivalent platforms, knowledge related to optimizing solutions to network structure challenges, familiarity with conservation challenges faced by LBVI, as well as candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p>Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs in wildlife and ecology. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and year-long community festivals and art events.</p>
<p>Contact Persons: Dr. Patrick Zollner <br>
Contact Phones: (765) 430-7858<br>
Contact e-mails: pzollner@purdue.edu</p>Post-doctoral position in Simulation Modeling of Socio-Economic Dynamics (with emphasis on aporophobia)2022-09-05T16:52:50.590031+00:002022-09-05T16:52:50.766690+00:00cristinamontanola/users/2306/https://www.comses.net/jobs/568/<p>The Sustainability, Economics and Ethics (SEE) group of the IQS School of Management (University Ramon Llull) in Barcelona is offering a 24-month contract to an early stage researcher holding a PhD in Computing, Artificial Intelligence, Statistics, Operations Research, Mathematics or other Engineering studies or in Anthoropology, Sociology or Economics. The main objective of the project is to develop simulation models to assess the impact of aporophobia (rejection of the poor) on countries’ welfare states and social variables such as poverty and inequality. The selected candidate should provide technical support to the project on modelling and simulation based on agents, design experiments, analyse simulation results and contribute to research articles.</p>
<p>Skills/Qualifications<br>
o Education: PhD in Computing, Artificial Intelligence, Statistics, Operations Research, Mathematics or other Engineering studies, or a social area such as Anthropology, Sociology or Economics</p>
<p>Knowledge:<br>
o Good programming skills<br>
o Data processing and analysis<br>
o Languages: English</p>
<p>Eligibility criteria<br>
o Be between 16 and 30 years of age<br>
o Being unemployed<br>
o Be registered as a job-seeker on the Catalan Job Service (SOC)</p>
<p>Interested people must apply via email at rrhh@iqs.url.edu</p>PhD position at UFZ Leipzig on "Model-based exploration of leverage points to foster sustainable nitrogen management in German agriculture”2022-09-05T12:42:38.388991+00:002022-09-05T12:42:38.555823+00:00birgit.mueller.ufz/users/665/https://www.comses.net/jobs/567/<p>In the POLISES group (<a href="http://www.polises.de">www.polises.de</a>) at the Helmholtz Centre for Environmental Research UFZ Leipzig, Germany a three years PhD Position on “Model-based exploration of leverage points to foster sustainable nitrogen management in German agriculture” is offered from December 1, 2022 on with a methodological focus on social-ecological modelling and agent-based modelling.</p>
<p>The aim of the PhD project is to investigate the effects of policy measures for sustainable nitrogen management of farmers in Germany. This shall be achieved by developing an integrated model complex that makes both the socio-economic and the biophysical sides of the system explicit and thus allows the consideration of various types of policy measures as well as feedbacks within the system.<br>
The deadline for application is September 26, 2022.</p>Postdoctoral researcher in past socio-environmental systems2022-07-18T22:08:03.038644+00:002022-07-18T22:08:03.301004+00:00nick-gauthier/users/1999/https://www.comses.net/jobs/566/<p>The AI for Biocultural Diversity Lab in the Florida Museum of Natural History at the University of Florida is seeking a full-time postdoctoral researcher in computational modeling of past socio-environmental systems. The Lab seeks to generate spatially-explicit reconstructions of global population and land use throughout the Holocene to uncover long-term trends in coupled climate and human dynamics, assess their roles in global biogeophysical and biogeochemical cycles, and measure their persistent impacts on contemporary biodiversity.</p>
<p>The successful candidate will be expected to develop an independent research program integrating paleodemographic, paleoclimatological, and paleoenvironmental models and data from the past 12,000 years. Primary responsibilities for this position include ongoing development of a suite of general-purpose R packages for past socio-environmental systems, as well as proof-of-concept applications to select regional case studies (open to the candidate’s interests and experience, current case studies include Southwest North America, the Mediterranean, and East Asia). The successful candidate will also gain experience in proposal writing, mentoring undergraduate and graduate students, and museum-based public outreach.</p>Research Associate in Population Health Modelling and Data Science (University of Sheffield)2022-07-06T04:15:00.365718+00:002022-07-06T04:15:00.565549+00:00kaclaborn/users/3304/https://www.comses.net/jobs/565/<p>We are seeking to appoint a Research Associate to engage in world-leading research in population health modelling and data science, with a specific focus on developing a smoking cessation model for England in partnership with University College London. The role sits within the Cancer Research UK funded programme grant “Targeting multiple levels of the smoking cessation system using novel scientific approaches”.</p>
<p>The role involves developing a novel agent-based model (ABM) of smoking cessation behaviours and health outcomes. You will use the ontology of the social psychology COM-B (capability-opportunity-motivation-behaviour) framework to inform the conceptual and detailed design of the model. You will calibrate the model using empirical data for England and use it to analyse the effectiveness of interventions to promote smoking cessation. Following open science principles, you will develop the ABM as open-source software and produce an online tutorial to support potential users.</p>
<p>The role requires a keen enthusiasm to work across disciplinary boundaries in developing world-class and transformative research in the modelling of social behaviours. During the project you will be able to draw on world-leading expertise in health behaviours, epidemiology, health economics, agent-based modelling, and machine learning.</p>
<p>The post will be based in the Complex Optimization and Decision Making Laboratory, led by Professor Robin Purshouse, within the Department of Automatic Control and Systems Engineering (ACSE) with support from Professor Alan Brennan in the School of Health and Related Research (ScHARR). The post is integral to ACSE and ScHARR strategies to develop complex systems modelling platforms to support societal grand challenges for improving wellbeing and reducing health inequalities. The new ABM will leverage ScHARR’s existing Sheffield Tobacco Policy Model and related findings.</p>Assistant or Associate Professor and NSERC CRC Tier 2 Chair in Epidemiology and Spatial Transmission Modelling2022-06-29T21:10:44.182963+00:002022-06-29T21:10:44.393401+00:00agreer/users/3626/https://www.comses.net/jobs/564/<p>The Department of Population Medicine at the University of Guelph invites applications for a tenure-track position at the Assistant or Associate Professor level.</p>
<p>The University of Guelph invites applications for an NSERC CRC Tier 2 Canada Research Chair (CRC) in Epidemiology and Spatial Transmission Modeling in the Department of Population Medicine, Ontario Veterinary College. This position is part of a cluster hire in One Health, which includes two other Tier 2 Chairs. Tier 2 CRCs, tenable for five years and renewable once, are for emerging researchers acknowledged by their peers as world-class. A CRC Tier II Chair attracts funding of $600,000 over five years (renewable once), with most of this funding allocated to support the Chair and the Chair’s program of research. For more details, visit the CRC program.</p>
<p>Applicants will have a doctoral level degree (PhD, DVSc or equivalent) in Epidemiology, Public Health or a related field with training and research experience in spatial transmission modeling. The successful candidate will be an emerging One Health leader and play a key role in the OVC’s prevention and prediction of disease and/or antimicrobial resistance efforts through use of spatial modeling expertise. The Chair will propel novel and innovative research programs through leading multi-million dollar competitive grants and advising and mentoring graduate students in their research programs. In addition, the chair will contribute to the education of DVM, One Health, MPH, and other graduate students through introducing them to the benefits of spatial transmission modeling methods, increasing their understanding of how veterinary medicine and public health can be used to promote both animal and human health.</p>
<p>Nominees for Tier 2 Chair positions should, at a minimum, be assistant or associate professors, or possess the necessary qualifications to be appointed to these levels. Eligibility for a Tier 2 Chair requires that applicants are emerging scholars. Applicants who are more than 10 years from having earned their highest degree, where career breaks exist, such as parental or extended sick leave, clinical training, or other exceptional circumstances, including research interruptions caused by the COVID-19 pandemic, may have their eligibility assessed through the program’s Tier 2 justification process. Eligible leaves and research interruptions are generally credited at twice the amount of time taken.</p>
<p>For more information about eligibility and the Tier 2 Justification Process, please contact Ailsa Kay, Manager, Strategic Programs at ailsakay@uoguelph.ca . Please consult the Canada Research Chairs website for full program information.</p>
<p>The University of Guelph recognizes that an inclusive campus and a culture of inclusion (<a href="https://uoguel.ph/ox2p9">https://uoguel.ph/ox2p9</a>) is an institutional and social imperative. Acknowledging the University’s diverse population and ensuring that every member of an inclusive campus is a valued contributor is a foundational pillar of a successful post-secondary institution.</p>
<p>The CRC program is committed to excellence in research and research training and is promoting exemplary practices with respect to equity, diversity, and inclusion (EDI). The goals of research excellence can only be met when equity and diversity are integrated into the research initiative. The CRC program reflects the federal government’s commitment to equity and diversity in employment. It aims to ensure the appropriate representation of women, persons with disabilities, Indigenous Peoples and racialized persons.</p>
<p>Salary is negotiable and commensurate with experience and qualifications. Positions are subject to review and final approval by the CRC Secretariat. Review of applications and nominations will begin on August 23, 2022, and will continue until the position is filled.</p>
<p>The University of Guelph is the third largest employer in Guelph, a city of approximately 130,000 people, located about an hour drive west of Toronto, Ontario. University of Guelph is a top-ranked comprehensive university in Canada with an enrolment of more than 30,000 undergraduate and graduate students across over 40 academic units. The University is known for its commitment to student learning, innovative research, and collaboration with world-class partners. It is a unique place, with transformative research and teaching and a distinctive campus culture. People who learn and work here are shaped and inspired by a shared purpose: To Improve Life. Reflecting that shared purpose in every experience connected to our university positions us to create positive change, here and around the world. Our University community shares a profound sense of social responsibility, a drive for international development, and an obligation to address global issues. Assessment of applications will begin on August 23, 2022 and will continue until the position is filled. Interested applicants should submit the following materials (as a single PDF file) to Dr. Todd Duffield, Chair of the Department, University of Guelph, Guelph, Ontario, Canada N1G 2W1. Email: tduffiel@uoguelph.ca .</p>
<p>A full curriculum vitae<br>
An Equity, Diversity, and Inclusion statement (one-page) that describes the applicant’s past experience with attracting and mentoring a diverse group of students, trainees and research personnel, and establishing an equitable and inclusive research environment.<br>
A four-page (maximum) statement that includes:<br>
An overview of the applicant’s research proposal, including knowledge mobilization and any innovation activities.<br>
How the proposed research embeds EDI considerations at each stage of the research process.<br>
Alignment with U of G’s existing or emerging areas of research strength.<br>
Names and contact information for three references. Referees of shortlisted candidates will be contacted and these references must meet the CRCP’s conflict of interest requirements for Tier 2 nominations. The three letters must meet the Tier 2 letters of nomination criteria found at: <a href="https://www.chairs-chaires.gc.ca/program-programme/referees-repondants-eng.aspx">https://www.chairs-chaires.gc.ca/program-programme/referees-repondants-eng.aspx</a><br>
The University of Guelph is committed to an Employment Equity Program that includes special measures to address the underrepresentation of individuals from four groups designated by the Employment Equity Act (women, persons with disabilities, Indigenous peoples, and racialized groups) within its allocation of Canada Research Chairs. The university especially seeks applications from applicants from these four groups. The identification of outstanding candidates from the designated groups is central to the University’s commitment to excellence, as well as to its capacity to fulfil the objectives of the University’s Canada Research Chairs Equity, Diversity, and Inclusion Action Plan .</p>
<p>Collection of self-identification data is a requirement of the CRC Program, and all applicants to CRC positions are required to complete the University’s self-identification form, the Applicant Tracking Questionnaire. The questionnaire includes an option “prefer not to answer.” Self-identification information is collected by the Office of Diversity and Human Rights (ODHR) in support of the University’s employment equity program. All self-identification specifics of candidates will be kept confidential by the ODHR.</p>
<p>The University supports the Canada Research Chairs Program’s commitment to EDI. Learn more about the University’s Equity, Diversity, and Inclusion Action Plan for the CRC Program. Canadians and permanent residents will be given priority.</p>
<p>The University recognizes that applicants may have had obligations outside of work that have negatively impacted their record of achievements (e.g., parental, elder care, and/or medical). You are not required to disclose these obligations in the hiring process. If you choose to do so, the University will ensure that these obligations do not negatively impact the assessment of your qualifications for the position.</p>
<p>The University of Guelph resides on the ancestral lands of the Attawandaron people and the treaty lands and territory of the Mississaugas of the Credit and we offer our respect to our Anishinaabe, Haudenosaunee and Métis neighbours as we strive to strengthen our relationships with them.</p>
<p>If you require a medical accommodation during the recruitment or selection process, please contact Occupational Health and Wellness at 519-824-4120 x52674.</p>Two postdoc positions in Socially Aware AI (SAAI) at Umeå University2022-06-18T00:01:00.954405+00:002022-06-18T00:01:01.057084+00:00kaclaborn/users/3304/https://www.comses.net/jobs/563/<p>You will be based in the socially aware AI (SAAI) group (<a href="https://www.umu.se/en/research/groups/socially-aware-ai/">https://www.umu.se/en/research/groups/socially-aware-ai/</a>). This group is world famous for its work on sophisticated social simulations ranging from the effectiveness of restrictions in the covid crisis to support for sustainable neighbourhoods. The group is specifically well-known for its formalizations and implementations of social concepts that govern people’s lives, such as routines, practices, norms, conventions, roles, etc. With this position we aim to develop multi-agent systems in which the agents are influenced by norms and other social rules, while learning from their experience using these social concepts and thus also slowly shaping new norms and conventions. The theoretical foundations will be based on existing work from our group, but especially the interaction between learning behaviour and social rules is to be explored. In order to test the usability of the developed models we aim to have at least one use case related to social simulation for policy making.</p>
<p>One postdoc position has a focus on engineering social simulations, and the second has a focus on extreme contexts. </p>
<p>For engineering social simulations (<a href="https://umu.varbi.com/en/what:job/jobID:505115/type:job/where:4/apply:1">https://umu.varbi.com/en/what:job/jobID:505115/type:job/where:4/apply:1</a>), the successful candidate is expected to contribute to research in SAAI by creating tools with which social constructs like norms and practices can be designed and implemented for social simulations. It is important to make a link between social theories and computational structures. The social theory is needed to create general usable computational tools, while the computational tools should be usable and efficient. Part of the research will be the connection of empirical, ethnographic methodologies with agent based social simulation methodologies. </p>
<p>For extreme contexts (<a href="https://umu.varbi.com/en/what:job/jobID:505077/type:job/where:4/apply:1">https://umu.varbi.com/en/what:job/jobID:505077/type:job/where:4/apply:1</a>), the successful candidate is expected to contribute to research in SAAI by modelling the response of organizations to extreme events. This involves modelling both the formal and the informal organizational structures and communication. The aim is to see what types of structures, routines and personal characteristics play a decisive role in the response of an organization to extreme events. The research will be done in close collaboration with the postdoc at USBE. Part of the research will be the connection of empirical, ethnographic methodologies with agent based social simulation methodologies.</p>Postdoc in modeling social-ecological systems2022-06-11T23:23:07.450475+00:002022-06-11T23:23:07.528353+00:00marcojanssen/users/4/https://www.comses.net/jobs/562/<p>We invite applications for a Postdoctoral Research Scholar in the ASU Center for Behavior, Institutions and the Environment (CBIE) at Arizona State University. CBIE is a center within the School of Complex Adaptive Systems in the College of Global Futures. Research within CBIE aims to improve our understanding of the interactions of human behavior, institutional arrangements and the biophysical environment. This better understanding is used to inform effective governance of social-ecological systems. The research activities combine comparative analysis of observational and experimental studies in different regions of the world within an international network of academics and practitioners.</p>
<p>At CBIE, research questions are addressed using multi-method approaches. We combine methods from original field research and historical analysis to controlled experiments and formal modeling. This is a full-time, fiscal-year (12-month) appointment, benefits-eligible appointment with no tenure implications. The position is renewable annually, contingent upon satisfactory performance, the needs of the university and the availability of recourses. </p>PhD scholarship in Sustainability Dynamics (Denmark Technical University)2022-05-30T18:19:03.910032+00:002022-05-30T18:19:26.434892+00:00kaclaborn/users/3304/https://www.comses.net/jobs/561/<p>If you have a MSc in System Dynamics, System Engineering, or related areas and you want to work at the very front of the new scientific revolution within sustainable design, this is a job for you to thrive.</p>
<p>At DTU Construct you will break new ground at the absolute forefront for enabling the design of sustainable solutions and be an active part of REBOUNDLESS, a prestigious ERC Consolidator Grant project, recently awarded by the European Research Council. </p>
<p>You will contribute to the development of the reboundless design theory, a paradigm shift in design science that will establish the scientific knowledge for preventing rebound effects (i.e., unintended consequences of interventions that arise due to induced changes in system behaviour leading to higher sustainability impacts). You will have the opportunity to join top interdisciplinary scientists from all over the world and make a personal impact in solving some of the most critical challenges the world is facing. </p>
<p><em>Responsibilities and qualifications:</em></p>
<p>Modelling and simulating the occurrence of rebound effects: Your focus will be to support the modelling and simulation of rebound effects triggered by efficiency, effectiveness and sufficiency design strategies, building upon systemic mechanisms of rebound effects across four needs (housing, nutrition, mobility and consumables).</p>
<p>More specifically, you will focus on qualitative modelling and quantitative simulation of rebound effects, further advancing current knowledge and enabling the rebound quantification. In collaboration with a system dynamics and sustainability transition researcher, you will support the development of generic qualitative and quantitative structures for rebound effects and the identify key leverage points in the system. Your primary tasks will include:</p>
<ul>
<li>Collect, categorize and systematize cases with empirical evidence of rebound effects (incl. primary and secondary data collection)</li>
<li>Perform model-based case studies (incl. primary and secondary data collection)</li>
<li>Develop qualitative (causal loop diagrams) and quantitative models (stock and flow diagrams) based on system dynamics best practices</li>
<li>Identify the key leverage points for preventing the occurrence of rebound effects</li>
<li>Publish research results in high-end scientific articles and conferences</li>
<li>Support with supervision of BSc and MSc students, as well as engage in teaching activities</li>
</ul>
<p>Your new workplace will be DTU’s main campus in Kgs. Lyngby, Copenhagen. </p>PhD Position in Integrated Energy Systems at the University of Kassel/Germany (ABM and local energy system modelling)2022-05-30T18:14:20.399840+00:002022-06-17T23:28:41.452666+00:00kaclaborn/users/3304/https://www.comses.net/jobs/560/<p>Part-time with 75.00 percent of the regular working time of a full-time employee. The position in the field of “agent-based modelling” is initially limited until June 30, 2025 within the project “WÄRMER” (§ 2 Abs. 2 WissZeitVG). A longer-term cooperation is intended. The position offers the opportunity to do a PhD.</p>
<p><em>Supporting the thermal energy transition within the urban building sector:</em><br>
Achieving German climate protection targets by 2030 requires stronger incentives for energetic renovation as well as a significant increase of renewable energy for heat provision. The latter can be achieved by switching to heat pumps as well as extensions of local and district heating grids which are fed by a high proportion of renewable energies. In the project “WÄRMER”, requirements for a successful transition of the urban building stock shall be identified by an innovative syntheses of local energy system optimisation and modelling individual investment behaviour.</p>
<p><em>Simulating individual investment decisions:</em><br>
The group Communication and Coordination in the Energy System (COOKIES) at the section Integrated Energy Systems (INES) develops and applies agent-based models to analyse individual investment decisions. This enables investigations about the impact of changes in the regulatory framework and other measures on dynamics of acceptance and investments of individual actors and their interaction. Results provide stakeholders and decision makers in policy, economy and civil society with evaluations and impact assessment of technical, regulatory and business options.</p>
<p><em>Your Tasks:</em></p>
<p>In the context of the project “WÄRMER” the successful applicant will develop models of future urban heating infrastructure with respect to the energy economic framing and climate protection targets in cooperation with Fraunhofer IEE. The focus is on the identification and mitigation of obstacles for individual investors under consideration of relevant stakeholders such as municipality, public utility companies, plumbers, and energy advisors. The successful candidate develops further a framework for agent-based simulation and tailors it to the project context. She will consider findings from stakeholder workshops and integrate the model into a common simulation cycle with planning tool for heat provision.</p>
<p>The successful applicant profits from current projects at the section Integrated Energy Systems comprising modelling and simulation of urban heating infrastructure and associated investment decisions. In general, the work environment is team oriented and favours being proactive and creative.</p>Forsker II/Senior researcher to the Center for Modeling Social Systems at NORCE2022-05-23T16:05:44.788454+00:002022-05-23T16:05:44.900047+00:00kaclaborn/users/3304/https://www.comses.net/jobs/559/<p>The selected candidate will be appointed a full-time position (1,0 fte) as a Forsker II/Senior researcher in the NORCE Kristiansand office. The working language is English, although knowledge of or willingness to learn Norwegian will be an additional advantage.</p>
<p>We are looking for a researcher to complement our CMSS team in working on a variety of upcoming projects. The successful candidate will initially be mainly involved in programming agent-based models for an EU HORIZON project, which begins in the fall of 2022 and studies food loss and waste along supply chains in Europe. The modelling effort will be a collaboration between NORCE, who is primarily responsible for programming human adaptive behaviors, and another leading European research institution primarily responsible for providing representations of the supply side (institutional actors). The goal of the project is to improve the understanding of how social norms influence behavior, food loss and waste generation, and use this knowledge to improve the effectiveness of decision-making and engagement of food chain actors.</p>
<p>There are no teaching obligations. The position will include funding for grant application development and traveling to conferences.</p>Research Fellow in the Centre for Public Health at Queen's University Belfast (3-year post-doc in ABM and urban green spaces)2022-05-23T16:04:13.220719+00:002022-05-23T16:04:13.296816+00:00kaclaborn/users/3304/https://www.comses.net/jobs/558/<p>The School of Medicine, Dentistry & Biomedical Sciences (MDBS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow in the Centre for Public Health.</p>
<p>This exciting position will allow the successful candidate to join the recently funded UKPRP GroundsWell consortium research team. The programme of research is focused on developing agent-based models to inform systems transformations of urban green and blue spaces for the prevention of non-communicable disease and reduction of inequalities in the UK.</p>
<p>The successful candidate will have the opportunity and support to be creative and academically brave, add their own ideas and innovations to the Consortium, and conduct high-quality research that will resonate at local, national, and global levels. We are particularly interested in working with someone with experience in the development of agent-based models of human populations and their local environment, including skills in model design with multidisciplinary teams, coding, parametrization, model verification, scenario development, sensitivity analysis, and reporting. Complementary skills in quantitative and/or qualitative methods that can be used to inform the development of agent-based models are welcome.</p>
<p>This post is available on a fixed term contract for 36 months.</p>Post Doctoral Scholar ABM Modeling Least Bells Vireo Populations2022-05-19T15:54:00.918551+00:002022-05-19T20:13:50.943982+00:00pzollner/users/3578/https://www.comses.net/jobs/557/<p>Title: Modeling Interacting Stressors & Management Strategies on Least Bell’s Vireo Populations</p>
<p>Institution: Purdue University, Department of Forestry and Natural Resources </p>
<p>Location: West Lafayette, IN </p>
<p>Job Category: Post-Doctoral Scholar</p>
<p>Salary: Commensurate with selected candidates experience and standards for Post-doctoral scholars in the Department of Forestry and Natural Resources at Purdue University. </p>
<p>Duration of Appointment: Applicant will be hired for a minimum of one year. Funding is available to support a post-doctoral scholar for the four-year duration of this project pending approval of additional funds after the completion of the first two project years. </p>
<p>Pertinent Websites: <a href="https://www.purdue.edu/fnr/sites/zollner/">https://www.purdue.edu/fnr/sites/zollner/</a></p>
<p>Start Date: August 15 2022. Funding may be available for the selected candidate to start earlier in the summer of 2022 if they prefer.</p>
<p>Description: The federally endangered Least Bell’s Vireo (LBVI, Vireo bellii pusillus) nests in narrow riparian areas surrounded by the heavily urbanized matrix of Southern California. Several of the largest remaining patches of LBVI nesting habitat occur on US Department of Defense (DoD) military training areas and in US Army Corps of Engineers (USACE) flood control basins. Expenses for ESA compliance related to LBVI are among the highest of all listed bird species, with widespread operational and financial impacts on federal action agencies and military installations. A complex array of threats and stressors interact to threaten LBVI populations, including groundwater extraction, loss of streamflow inputs due to water recycling programs, changing flood and fire regimes, nest parasitism by brown-headed cowbirds (Molothrus ater), and negative impacts to riparian vegetation from invasive non-native plants and insects. One challenge in developing management strategies for recovery is understanding how different stressors may interact, particularly with emerging threats like new invasive species or major changes in disturbance regimes due to climate change. A ~25-minute video describing this project in more detail can be viewed at this link (<a href="https://youtu.be/c0DQPcSk-Qg">https://youtu.be/c0DQPcSk-Qg</a>). The goal of this research project is to develop an individual/agent-based modeling tool that integrates sub-models reflecting different stressors, and synthesizes those sub-models to understand the relative effectiveness of a range of PI- and stakeholder-generated management scenarios. The selected post-doctoral scholar will work closely with PhD students in the labs of Dr. Pat Zollner and Dr. Jeff Holland as well as with all project Co-PIs (see below) and end users to fill these knowledge gaps by addressing 3 objectives:</p>
<p>1) designing, developing, and implementing an agent-based model that integrates sub-models (developed by collaborators) associated with multiple stressors to assess their interactive influence upon LBVI populations;</p>
<p>2) collaborating with relevant agency and NGO partners to design a spectrum of realistic management scenarios across the LBVI range and use the agent based model to simulate these scenarios and assess their relative effectiveness; and</p>
<p>3) publishing manuscripts describing the research underlying the first two objectives and delivering the agent based model and documentation to end users.</p>
<p>This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling, quantitative ecology, wildlife biology, conservation biology and ornithology. The position provides applied experience for a career trajectory in local, state, or federal agencies or a research career focused on the fields of quantitative ecology or conservation biology. The post-doctoral scholar will be advised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). The student’s research will be a collaboration with; Dr. Richard Fischer from the US Army Engineer Research and Development Center, Mr. Casey Lott Conservation Science and Data Visualization, LLC, Dr. Jeffrey Holland Purdue University Department of Entomology, and Ms. Melissa Rohde of CA TNC.</p>
<p>Specific Duties: The post-doctoral scholar will serve as the hub coordinating the design and code compatibility of sub-models from all project collaborators. They will play a critical role in designing and coding the overarching model that integrates sub-models related to different stressors as well simulation experiments that investigate the interactive effects of those stressors and their implications for management activities. Responsibility for specific tasks will remain TBD until the entire team is assembled and the relative strengths and interests of all participants have been assessed.</p>
<p>How to Apply: Interested applicants should compile all of the following materials into a single pdf file; a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 5 questions (each of these responses should be 250 words or less). </p>
<ol>
<li>Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.</li>
<li>Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.</li>
<li>What motivates you to pursue post-doctoral scholarship, and how will participation in this project prepare you to achieve your career goals?</li>
<li>Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.</li>
<li>What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?</li>
</ol>
<p>That single pdf should be attached to an email that has a subject line of “Application for Post-Doctoral Scholar on Least Bell’s Vireo ABM”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation. Application review will begin 8:00 AM on June 6 2022.</p>
<p>Qualifications: PhD in Ecological Modelling, Wildlife Biology or a related discipline. </p>
<p>When preparing materials (statement of interest & response to 5 questions) applicants should explicitly address their demonstrated organizational skills, interest/background in individual/agent-based modeling, quantitative skills, and their ability to mentor others. Applicants should be highly motivated with a demonstrated ability to work independently and collaboratively. The post-doctoral scholar that we hire should be able to readily interact with partners including government agencies across many levels as well as non-governmental organizations. Applicants with experience publishing peer-reviewed journal articles, a strong work ethic, demonstrated technical writing ability, training in ecological modeling, excellent interpersonal skills, demonstrated skill or skill potential in quantitative ecology and proficiency in R will be most competitive. Experience developing individual/agent-based models in NetLogo or equivalent platforms, knowledge related to optimizing solutions to network structure challenges, familiarity with conservation challenges faced by LBVI, as well as candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p>Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs in wildlife and ecology. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and year-long community festivals and art events.</p>
<p>Contact Persons: Dr. Patrick Zollner <br>
Contact Phones: (765) 430-7858<br>
Contact e-mails: pzollner@purdue.edu</p>PhD Assistantship for ABM Modeling of Least Bells Vireo Populations2022-05-19T15:47:58.569365+00:002022-05-19T20:14:13.683944+00:00pzollner/users/3578/https://www.comses.net/jobs/556/<p>Title: Modeling Interacting Stressors & Management Strategies on Least Bell’s Vireo Populations</p>
<p>Institution: Purdue University, Department of Forestry and Natural Resources </p>
<p>Location: West Lafayette, IN </p>
<p>Job Category: Graduate Assistantship</p>
<p>Salary: Year-round funding (full tuition waiver and salary of ~$24,000/year is available as a Graduate Research Assistant (PhD level) in the Forestry and Natural Resources Department at Purdue University. </p>
<p>Pertinent Websites: <a href="https://www.purdue.edu/fnr/sites/zollner/">https://www.purdue.edu/fnr/sites/zollner/</a></p>
<p>Start Date: August 15 2022. Funding may be available for this this student to start earlier in the summer of 2022 if they prefer that.<br>
Last Day to Apply: Application review will begin 8:00 AM on June 6 2022. The candidate selected from that pool of applicants will need to submit an official application to Purdue’s graduate school after they are notified that they are the top candidate.</p>
<p>Description: The federally endangered Least Bell’s Vireo (LBVI, Vireo bellii pusillus) nests in narrow riparian areas surrounded by the heavily urbanized matrix of Southern California. Several of the largest remaining patches of LBVI nesting habitat occur on US Department of Defense (DoD) military training areas and in US Army Corps of Engineers (USACE) flood control basins. Expenses for ESA compliance related to LBVI are among the highest of all listed bird species, with widespread operational and financial impacts on federal action agencies and military installations. A complex mixture array of threats and stressors interact to threaten LBVI populations, including these threats include stressors related to groundwater extraction, loss of streamflow inputs due to water recycling programs, changing flood and fire regimes, nest parasitism by brown-headed cowbirds (Molothrus ater), and negative impacts to riparian vegetation from invasive non-native plants and insects. One challenge in developing management strategies for recovery is understanding how different stressors may interact, particularly with emerging threats like new invasive species or major changes in disturbance regimes due to climate change. A ~25-minute video describing this project in more detail can be viewed at this link (<a href="https://youtu.be/c0DQPcSk-Qg">https://youtu.be/c0DQPcSk-Qg</a>). The goal of this research project is to develop an individual/agent-based modeling tool that integrates sub-models reflecting different stressors and synthesizes those sub-models to understand the relative effectiveness of a range of PI- and stakeholder-generated management scenarios. The selected student will work with the various project Co-PIs (see below) as well as a post-doctoral scholar and end users to fill these knowledge gaps by addressing 3 objectives:</p>
<p>1) designing, developing, and implementing an agent-based model that integrates sub-models (developed by collaborators) associated with multiple stressors to assess their interactive influence upon LBVI populations;</p>
<p>2) collaborating with relevant agency and NGO partners to design a spectrum of realistic management scenarios across the LBVI range and use the agent-based model to simulate these scenarios and assess their relative effectiveness; and</p>
<p>3) publishing manuscripts describing the research underlying the first two objectives and delivering the agent-based model and documentation to end users</p>
<p>This is a unique opportunity for individuals interested in the interface of individual/agent-based modeling, quantitative ecology, wildlife biology, conservation biology and ornithology. The position provides applied experience for a career trajectory in local, state, or federal agencies or a research career focused on the fields of quantitative ecology or conservation biology. The student will be advised by Dr. Patrick Zollner (Purdue University Department of Forestry and Natural Resources). The student’s research will be a collaboration with; Dr. Richard Fischer from the US Army Engineer Research and Development Center, Mr. Casey Lott Conservation Science and Data Visualization, LLC, Dr. Jeffrey Holland Purdue University Department of Entomology, and Ms. Melissa Rohde of CA TNC.</p>
<p>To apply: Interested applicants should compile all of the following materials into a single pdf file; copies of unofficial transcripts, a CV that includes contact information for three professional references, a 1-page statement of interest, and responses to the following 5 questions (each of these responses should be 250 words or less).</p>
<ol>
<li>Describe a situation that demonstrates your work ethic and ability to complete complex tasks in a timely manner.</li>
<li>Provide an example of a work/academic situation that typifies how you handle adversity when striving to attain a goal.</li>
<li>What motivates you to pursue your proposed graduate studies, and how will completion of these studies prepare you to achieve your career goals?</li>
<li>Please describe a specific example from your work/academic experience that demonstrates your curiosity and creativity.</li>
<li>What are your strengths and weaknesses with regard to achieving goals individually and in collaboration with others?</li>
</ol>
<p>That single pdf should be attached to an email that has a subject line of “Application for PhD Position Modeling Interactive Stressors on Least Bell’s Vireo”. That email should be sent to Dr. Patrick Zollner (pzollner@purdue.edu) and applicants should understand that their application materials may be reviewed by other project collaborators as part of application evaluation.</p>
<p>Qualifications: BS & MS in Wildlife Biology, Ecological Modelling or a related discipline. <br>
When preparing materials (statement of interest & response to 5 questions) applicants should explicitly address their demonstrated organizational skills, interest/background in individual/agent-based modeling, quantitative skills, and their ability to mentor others. Applicants should be highly motivated with a demonstrated ability to work independently and collaboratively. The student we hire should be able to readily interact with partners including government agencies across many levels as well as non-governmental organizations. Applicants with experience publishing peer-reviewed journal articles, a strong work ethic, demonstrated technical writing ability, training in ecological modeling, excellent interpersonal skills, demonstrated skill or skill potential in quantitative ecology and proficiency in R will be most competitive. Experience developing individual/agent-based models in NetLogo or equivalent platforms, familiarity with conservation challenges faced by LBVI, as well as candidates who bring unique contributions to the diverse perspectives within the Department of Forestry and Natural Resources are all additional elements that will make applicants more competitive.</p>
<p>Purdue is a land-grant university of over 40,000 students and ranked the 10th best public university in the U.S. The Department of Forestry and Natural Resources is housed administratively in the College of Agriculture (#7 US ranking) and offers vibrant, nationally ranked graduate programs in wildlife and ecology. Located in West Lafayette, Indiana, Purdue is an easy drive from Indianapolis and Chicago. The West Lafayette-Lafayette area is home to a diverse community of 174,000, with good schools, safe neighborhoods, over 40 parks and extensive trail systems, active Farmers Markets, and year-long community festivals and art events.</p>
<p>Contact Persons: Dr. Patrick Zollner <br>
Contact Phones: (765) 430-7858<br>
Contact e-mails: pzollner@purdue.edu</p>Researcher position (0.5 FTE) at NORCE2022-05-11T16:49:54.050805+00:002022-05-11T16:49:54.261234+00:00kaclaborn/users/3304/https://www.comses.net/jobs/555/<p>The selected candidate will be appointed a part-time position (0,5 fte) as a Forsker/Researcher in the NORCE Kristiansand office. The working language is English, although knowledge of or willingness to learn Norwegian will be an additional advantage.</p>
<p>We are looking for a researcher to complement our Modelling and Simulation team. Initially, the successful candidate will be responsible for programming agent-based models of urban logistic systems in a H2020 grant that brings together industry leaders in logistics services, novel solution providers for shared, connected, and automated operations and research experts to co- develop novel last mile delivery solutions combining green automated vehicles and shared space utilization models. ABM activities will focus on representing supply chains, and will be a collaborative effort between NORCE who is primarily responsible for providing representations of the demand side (customer adaptive behaviours related to novel logistic services) and another leading European research institution who is primarily responsible for providing representations of the supply side (institutional actors). The goal is to improve the knowledge about user needs, habits, and preferences in terms of deliveries and contribute to the development of digital twins of real-world urban areas. Ultimately, ABM will be used to assist city stakeholders in making greener decisions.</p>
<p>NORCE is a forward-looking research institute with a wide academic breadth and strong knowledge environments. Our vision is “Passion for Knowledge - Together for Sustainability”. The UN Sustainable Development Goals (SDGs) are an important framework for our strategy. We deliver research and innovation in energy, health, climate, environment, society, and technology. Our solutions respond to key societal challenges and contribute to value creation locally, nationally and globally. We have over 800 employees in offices in Bergen (head office), Tromsø, Haugesund, Stavanger, Kristiansand, Grimstad, and Oslo.</p>Engineer (or Master) in computer science or virtual reality and video games2022-04-01T12:34:10.990897+00:002022-04-01T12:34:11.169407+00:00pierrebommel/users/595/https://www.comses.net/jobs/554/<p>Cirad (French Agricultural Research Centre for International Development) is recruiting a computer scientist for the SENS research unit (Knowledge, Environment and Societies). To promote the sustainable management of natural resources, SENS is developing a companion modelling approach (<a href="http://www.commod.org">www.commod.org</a>) to facilitate cooperation between stakeholders and interdisciplinary dialogue. To implement this approach, we have created an ABM platform named CORMAS (<a href="http://cormas.cirad.fr">http://cormas.cirad.fr</a>).<br>
Initially developed under VisualWorks, Cormas runs under Pharo (another Smalltalk) to benefit from the features of this free environment and from its dynamic community.</p>Strathclyde Chancellor's Fellow in Health Tech2022-03-15T13:53:55.895119+00:002022-03-15T13:53:56.671098+00:00itamarmeg/users/2192/https://www.comses.net/jobs/553/<p>The Department of Management Science at the University of Strathclyde is advertising for Chancellor’s Fellow in Health Tech.</p>
<p>The full advert with more detail and for application: </p>
<p><a href="https://strathvacancies.engageats.co.uk/ViewVacancyV2.aspx?enc=mEgrBL4XQK0+ld8aNkwYmKIkD43rNVvaSMsTRjYfy2OEjA8mIvZdY7uDdeiIchwKijqeCClTcb8+kL9lZb8NhLWN8LIKdopUUwZ6LgioE0sXI1NILEsZuJguSO8vQ24MHpkxV8iqxUbfzj2tQBxaNQ==">https://strathvacancies.engageats.co.uk/ViewVacancyV2.aspx?enc=mEgrBL4XQK0+ld8aNkwYmKIkD43rNVvaSMsTRjYfy2OEjA8mIvZdY7uDdeiIchwKijqeCClTcb8+kL9lZb8NhLWN8LIKdopUUwZ6LgioE0sXI1NILEsZuJguSO8vQ24MHpkxV8iqxUbfzj2tQBxaNQ==</a> </p>
<p>We are seeking to appoint staff in the area of systems approaches for health and wellbeing and/ or sustainability to deepen and complement existing expertise. Candidates should be familiar with management science systems modelling approaches and have experience in deploying these approaches to assist decision making in the management of complex systems.</p>
<p>These are attractive, strategic posts for PhD-holders with strong research potential. The posts are at the equivalent of a US Assistant Prof or UK lecturer level but have a reduced teaching load to encourage the development of a research portfolio.</p>Researcher on Analysis and Modelling of Social Complexity2022-02-21T17:15:09.763508+00:002022-02-21T17:16:28.509999+00:00kaclaborn/users/3304/https://www.comses.net/jobs/552/<p>The position is opened by the Complex Human Behaviour Lab (CHuB), an interdisciplinary research unit carrying out fundamental and applied research informed by the statistical analysis of large behavioural datasets and aimed at modelling individual behaviour and collective social phenomena using the methods of complexity science, computational social science, and network theory. The topics covered within the unit range from individual decisions, human mobility and transportation to online communication, cultural production and infodemics.</p>
<p>Organization </p>
<p>Digital Society (DigiS) is a research centre of Fondazione Bruno Kessler (FBK) formed by a multidisciplinary team of more than 100 researchers, technologists, and managers (including Ph.D. students). It is organized in 13 research units dedicated to specific research areas in the ICT domain and two support units focusing on project management and technology maturation.</p>
<p>Our mission is to perform advanced research and develop innovative digital technology to address the future digital society’s key challenges. Digital technology has a pervasive impact on our lives and is reshaping our society. The challenge is to ensure that digital technology becomes a steppingstone to create a more sustainable, inclusive, and secure society. More information is available at <a href="https://digis.fbk.eu/#vision">https://digis.fbk.eu/#vision</a></p>
<p>Job description</p>
<p>FBK-CHuB is seeking a Researcher in the field of the analysis and modelling of complex social systems.</p>
<p>In particular, the candidate will be involved in a research project focused on the modelling of the interaction between human and artificial agents in complex social scenarios. The work will include the exploration of the interaction of different typologies of actors, artificial or natural, acting following different goals and strategies in paradigmatical complex social scenarios such as ant colonies, flocks of birds or interaction models on networks, as well as in more realistic scenarios such as online communication (bots) or traffic (self-driving cars).</p>
<p>The candidate will work in collaboration with other researchers of the Centre, as well as with partners involved in the project.</p>
<p>The candidate is expected to:</p>
<ul>
<li>identify behavioural patterns from large datasets of social interactions available at FBK</li>
<li>develop agent-based and/or stochastic simulations informed by the empirical observation</li>
<li>explore different complex interaction scenarios between natural and artificial agents</li>
<li>identify emergent behaviours that could be harnessed to optimize or control the collective interactive system</li>
</ul>
<p>Job requirements</p>
<p>The ideal candidate should have:</p>
<ul>
<li>Master degree in Physics, Math, Data Science, Computer Science, Computational Social Science, Engineering, Statistics;</li>
<li>Software development skills (preferably in Python);</li>
<li>Good knowledge and proficiency of the English language;</li>
<li>Team working attitude;</li>
<li>Good communication and relation skills;</li>
<li>Autonomy in developing research and organizing work activities.</li>
</ul>
<p>In depth previous experience in at least one of the following areas is required:</p>
<ul>
<li>Complexity Science</li>
<li>Network Science</li>
<li>Stochastic Processes</li>
<li>Statistical Modelling</li>
<li>Evolutionary Dynamics</li>
<li>Agent-based Modelling</li>
</ul>PhD position at UFZ Leipzig on "Model-based exploration of leverage points to foster sustainable nitrogen management in German agriculture”2022-02-21T17:08:01.017030+00:002022-02-21T17:10:25.075972+00:00kaclaborn/users/3304/https://www.comses.net/jobs/551/<p>A three years PhD Position on “Model-based exploration of leverage points to foster sustainable nitrogen management in German agriculture” is offered from May 1, 2022 on with a methodological focus on social-ecological modelling and agent-based modelling.</p>
<p>The aim of the PhD project is to investigate the effects of policy measures for sustainable nitrogen management of farmers in Germany. This shall be achieved by developing an integrated model complex that makes both the socio-economic and the biophysical sides of the system explicit and thus allows the consideration of various types of policy measures as well as feedbacks within the system.</p>
<p>The Working Group POLISES (‘Policy Instruments and Social-Environmental Systems under Global Change’, <a href="http://www.polises.de">www.polises.de</a>) is a dynamic, interdisciplinary research team at the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research – UFZ. It focuses on modelling human decision making in socio-environmental contexts, with a particular interest in the analysis of policy instruments. A main objective is to increase the real-world impact of socio-environmental modelling for management and policy support related to sustainable land use.</p>
<p>The application of nitrogen fertilizers in agriculture has increased enormously worldwide. Their negative impacts pose major societal threats including groundwater pollution, climate change, biodiversity loss and related health problems. In this context, a new research project will be launched to investigate the effects of policy measures for sustainable nitrogen management of farmers in Germany.</p>Computational Simulation Scientist at The Center for Mind and Culture (CMAC)2022-02-18T01:08:51.917185+00:002022-02-18T01:09:17.812912+00:00kaclaborn/users/3304/https://www.comses.net/jobs/550/<p>The Center for Mind and Culture (CMAC) is a non-profit research center that innovates creative solutions for urgent social problems. We are committed to a radically interdisciplinary, non-partisan approach, and uniting the humanities, social sciences, and data sciences. CMAC mobilizes an international network of experts to develop cutting-edge tools and disseminate visionary insights to public and professional stakeholders. We aim to deepen understanding of complex adaptive social systems in order to help change agents be more effective.</p>
<p>Applying computational and data-science methods to fundamental research questions in cognitive neuroscience is vital for deepening human self-understanding. While some invent the next great widget and others figure out how to sell it faster and cheaper, CMAC is committed to working with talented researchers who want to apply their skill sets to the dual challenge of understanding the human condition and promoting human good.</p>
<p>This term-limited position is funded by a research grant on the Cognitive Neuroscience of Religion. A central task of this position is computational simulation of the REM-Theta system, its involvement in creating supernatural-agent cognitions, its disruption in neuropsychiatric disorders, and its entanglement in interpersonal and cultural dynamics. A small collaborative research group will coordinate activities and build models, drawing on subject-matter experts as needed. The computational modeling activities are conducted within the Center for Mind and Culture in Boston under the leadership of Prof. Wesley J. Wildman (PI on a subcontract). The larger team is led by Prof. Patrick McNamara (Northcentral University) and Prof. Jordan Grafman (Northwestern University), who are co-PIs on the funded research project.</p>
<p>The successful candidate will be expert in computational modeling and simulation using both system-dynamics and agent-based models. Neural modeling expertise is helpful but not required for this position as the modeling occurs at the relatively high level of neural systems and associated cognitions and behaviors. Other requirements are statistical data analysis, participation in online study design and execution, documenting procedures, participation in team meetings, presenting findings at workshops and conferences, and writing up results for publication.</p>
<p>The position may be done remotely or in Boston and will begin as soon as April 1, 2022.</p>
<p>Minimum qualifications</p>
<ul>
<li>Expert-level abilities in computational modeling and simulation using both system-dynamics and agent-based models</li>
<li>Proficiency interpreting a variety of technical instructions in mathematical or diagram form and dealing with abstract and concrete variables</li>
<li>Ability to read, analyze, and interpret periodicals, professional journals, technical procedures, and governing body regulations</li>
<li>Ability to define problems, collect data, establish facts, and draw valid conclusions</li>
<li>Strong organizational and communication skills in English, with a proven ability to provide timely, accurate information on a variety of academically oriented subjects to both internal and external constituents</li>
<li>Ability to handle a diversity of details in order to make informed and responsive decisions</li>
</ul>
<p>Preferred qualifications</p>
<ul>
<li>Passion for using data science methods for the good of communities, including those affected by neuropsychiatric disorders and interpersonal and cultural conflict</li>
<li>Experience working in a technology-driven institution</li>
<li>Proven ability to communicate research results clearly and concisely in verbal and written form</li>
<li>Strong analytical and critical thinking skills</li>
<li>Experience in neural modeling</li>
<li>Experience with modeling software such as AnyLogic, NetLogo, or Stella Architect; data-analytics tools such as R and Python; and statistics packages (STATA or SPSS)</li>
<li>Proficiency with the Microsoft Office suite</li>
</ul>
<p>Education and experience<br>
The successful candidate may be from one of the following backgrounds.</p>
<ul>
<li>A computational social scientist with a doctorate in psychology, neuroscience, religious studies, data science, or related fields</li>
<li>Someone with a doctorate related to computational simulation who wants to apply those established skills to the cognitive neuroscience of religion</li>
<li>Someone without the PhD but expert in computational simulation and data science, with an interest in cognitive neuroscience of religion</li>
<li>Someone with equivalent industry experience consistent with the work required</li>
</ul>
<p>To apply, please email a resume and a list of references to <a href="mailto:admin@mindandculture.org">admin@mindandculture.org</a>, along with a cover letter and links to any materials that you have created or co-created. The Center for Mind and Culture is an Equal Opportunity Employer.</p>Research Associate in Computational Social Simulation2022-02-18T01:05:53.378533+00:002022-02-18T01:05:53.439746+00:00kaclaborn/users/3304/https://www.comses.net/jobs/549/<p>We have an opportunity for a Research Associate in Computational Social Simulation. This post will be associated with Professor Alison Heppenstall’s Health & Sustainability workstream in the Systems Science in Public Health programme, MRC/CSO Social and Public Health Sciences Unit. You will develop individual-level models, together with the underpinning methods, that capture and simulate the dynamic relationships between the way different places seek to manage their transition to carbon neutrality and potential impacts on health inequalities. You will use these models to produce estimates of distributional impacts needed for policy appraisal at high spatial resolution and assess the evolution over time of effects in the system.</p>
<p>The post holder will liaise with the other System Science programme researchers to formulate causal and dynamical model structures, use data from a wide range of sources, and knowledge elicited from experts to build models for prediction and provide quantification of associated uncertainties. You will also calibrate and validate these models in close dialogue with scientists and stakeholders.</p>
<p>This post is full time with funding for 3 years.</p>
<p>Any further enquiries on this post may be directed to Professor Alison Heppenstall, Alison.Heppenstall@glasgow.ac.uk</p>2022DILEUA10 PhD student position: Simulation of acquaintanceship networks and agent-based modeling of network influence on cohesive attitudes2022-02-18T01:03:52.078104+00:002022-02-18T01:03:52.116315+00:00kaclaborn/users/3304/https://www.comses.net/jobs/548/<p>The research project “A network science approach to social cohesion in European societies” (PATCHWORK), funded by the European Research Council (ERC Advanced Grant awarded to Dr. Miranda Lubbers), announces the recruitment of a pre-doctoral researcher in agent-based modeling and simulation of societal networks and their effects at the newly founded Laboratory for Computational Analysis of Egonetworks, Social Cohesion and Exclusion (COALESCE Lab) at the Department of Social and Cultural Anthropology of the Autonomous University of Barcelona.</p>
<p>The successful applicant will work on the simulation of scaled-down societal networks based on representative individual acquaintanceship network data in six countries, and model network influence on cohesive attitudes such as solidarity and social trust, calibrated with the project data. (S)he will work within the interdisciplinary project and carry out their graduate studies in the university’s PhD program in Social and Cultural Anthropology (doctoral programs in other disciplines can be considered if preferred), writing a doctoral thesis based on the data collected in the project. The successful applicant is offered the possibility to apply for a joint international doctorate (which allows PhD candidates to earn a doctoral degree from two universities in different countries for a single thesis; see for further details <a href="https://www.uab.cat/web/studies/phds/cotutelle-international-joint-supervision-1345680701522.html">https://www.uab.cat/web/studies/phds/cotutelle-international-joint-supervision-1345680701522.html</a>).</p>
<p>The appointment will initially be for 1 year. After satisfactory evaluation of the initial appointment, it will be extended to another 3 years.</p>
<p>The successful candidate is expected to start in May 2022 (if another starting date is preferred, please state this date in the letter). The job location is in UAB - Bellaterra (Barcelona). The candidate will be expected to be work at the UAB office to collaborate with other members of the team.</p>
<p>The candidate will become a member of the COALESCE Lab, directed by Dr. Miranda Lubbers.</p>2022DILEUA12 Postdoc position (four years): Simulation of society-wide social networks based on acquaintanceship network data and agent-based modeling of network influence on cohesive attitudes2022-02-18T01:02:50.558755+00:002022-02-18T01:02:50.606632+00:00kaclaborn/users/3304/https://www.comses.net/jobs/547/<p>The research project “A network science approach to social cohesion in European societies” (PATCHWORK), funded by the European Research Council (ERC Advanced Grant awarded to Dr. Miranda Lubbers), is hiring a post-doctoral researcher for a period of four years at the newly founded Laboratory for Computational Analysis of Egonetworks, Social Cohesion and Exclusion (COALESCE Lab) at the Department of Social and Cultural Anthropology of the Autonomous University of Barcelona.</p>
<p>The successful applicant will work within the international, interdisciplinary project team. His/her work will consist in simulating scaled-down societal networks based on the project’s novel, representative individual acquaintanceship network data for six countries and modeling network influence on cohesive attitudes such as solidarity and social trust using agent-based models, based on theory and calibrated with the project data. This will result in at least three international publications in high-impact academic journals, and will contribute to the objectives of the research project.</p>
<p>The appointment will initially be for 1 year. After satisfactory evaluation of the initial appointment, it will be extended to another 3 years.</p>
<p>The candidate is expected to start in May 2022 (if another starting date is preferred, please state this date in the letter). The job location is in UAB-Bellaterra (Barcelona). The candidate will be expected to be work at the UAB office to collaborate with other members of the team.</p>
<p>The candidate will become a member of the COALESCE Lab directed by Dr. Miranda Lubbers.</p>PhD Position on Social-ecological model on nitrogen management of farmers (at UFZ, Leipzig, Germany)2022-02-17T08:13:31.987039+00:002022-03-21T10:48:20.311728+00:00birgit.mueller.ufz/users/665/https://www.comses.net/jobs/546/<p>In the POLISES group (<a href="http://www.polises.de">www.polises.de</a>) at the Helmholtz Centre for Environmental Research UFZ Leipzig, Germany, a three years PhD Position on “Model-based exploration of leverage points to foster sustainable nitrogen management in German agriculture” is offered from Mai 1, 2022 on with a methodological focus on social-ecological modelling and agent-based modelling.</p>
<p>The aim of the PhD project is to investigate the effects of policy measures for sustainable nitrogen management of farmers in Germany. This shall be achieved by developing an integrated model complex that makes both the socio-economic and the biophysical sides of the system explicit and thus allows the consideration of various types of policy measures as well as feedbacks within the system. A focus is set on the adequate representation of farmers.<br>
The deadline for application is April 6, 2022.</p>
<p>More information on: <a href="https://recruitingapp-5128.de.umantis.com/Vacancies/2388/Description/2">https://recruitingapp-5128.de.umantis.com/Vacancies/2388/Description/2</a></p>Assistant Professor in Environmental Psychology and Simulation2021-12-20T15:19:34.620346+00:002021-12-20T15:19:34.861763+00:00kaclaborn/users/3304/https://www.comses.net/jobs/545/<p>Climate action demands drastic behavioural and social changes for a variety of actors. Success of technological interventions climate change mitigation and adaptation policies critically depends on our understanding of drivers of citizens’ behavior, including psychological biases, individual preferences, and social influence. We welcome an Assistant Professor with a passion to integrate and advance behavioural insights for effective climate policy design, communication and compliance concerning climate change mitigation and adaptation through (computational) modelling and empirical analysis. Challenges in this domain require a rigorous approach and a development of novel methods, including but not limited to: </p>
<p>(1) Improvement of our understanding of psychological, cultural and social factors driving the behavior of involved actors. This involves a selection, integration and advancement of appropriate theories from environmental psychology and decision-making about climate-relevant behavior and behavioral change;<br>
(2) Quantification of behavioral change implications for large systems (communities, cities, regions, countries), emerging from many interacting actions of individuals, organizations and governments. To capture behavioral patterns in logical models may require formalization and (computational) modelling of decision-making processes regarding climate change mitigation and adaptation;<br>
(3) Use of behavioral insights for effective (mass) policies and technologies, taking the individual as well as the community level into consideration.</p>
<p>As a tenure tracker, you will inspire colleagues and students through research and education, both in courses (existing and to be developed) and project-oriented education. You are expected to acquire funding for new research projects from different national and international funding schemes and contribute to organizational tasks and valorization of your work. </p>
<p><strong>Requirements</strong></p>
<ul>
<li>A PhD degree in Environmental Psychology, Computational Social Science, Decision Science, Complex Systems Engineering&Management or Industrial Ecology;</li>
<li>Ability and motivation to establish own research direction and develop novel approaches for the integration of psychological theories, perspectives, and methods to modelling and simulation of climate actions; </li>
<li>A track record demonstrating experience with qualitative and quantitative research methods in the context of climate action, evidenced by a strong publication list;</li>
<li>Domain knowledge in the fields related to climate action, e.g. climate policy, energy transition, and/or climate adaptation is an asset; </li>
<li>Proven ability to work well within a multidisciplinary team;</li>
<li>Excellent networking, collaboration and communication skills.</li>
</ul>Junior front-end software engineer2021-12-15T21:39:33.291990+00:002022-01-03T18:47:36.919125+00:00alee/users/3/https://www.comses.net/jobs/544/<p>The Network for Computational Modeling in the Social and Ecological Sciences (<a href="http://www.comses.net">www.comses.net</a>), part of the School of Complex Adaptive Systems, has an opening for a junior frontend software engineer to build software tools to support open, transparent, reusable, and interoperable scientific computation for the study of complex social and natural systems. This entry-level position will help the successful candidate grow in their ability to build functional, intuitive user interfaces and data visualizations as well as robust, scalable, backend web services. As part of the ASU College of Global Futures, our mission is to improve the ways we can understand and collectively navigate our increasingly complex world. We build software tools that foster community engagement and facilitate best practices for a growing international community of scientists across all disciplines, helping them develop and publish FAIR (Findable, Accessible, Interoperable, and Reusable) research software and computational models for policy and planning, environmental management, resource investment, and hazard preparedness.</p>Postdoctoral Researcher on the Impact of Climate Adaptation on Poverty Traps2021-12-13T20:04:48.605078+00:002021-12-13T20:04:48.668958+00:00kaclaborn/users/3304/https://www.comses.net/jobs/543/<p>Are you interested in interdisciplinary research projects? Do you like to work in a team of researchers working on societal challenges? We are seeking a post-doctoral researcher is interested in interdisciplinary research in the impact of climate change adaptation on poverty traps, and who likes to bridge research insights developed in computational science, environmental science, and developmental economics with practice.</p>
<p>As researcher you will be part of the Accelerating Scientific Discovery project ‘Computing societal dynamics of climate change adaptation in cities’. The project focuses on modelling the feedbacks between climate change adaptation and poverty traps. Specifically, we study the role of adaptation in shaping risk using spatially explicit modelling of the socio-economic dynamics related to climate change adaptation (CCA), and how dynamics in poverty levels impact adaptive capacity. Spatial agent-based modelling (SABM), enabled by growing computing power, has been successfully applied to analyse macro-outcomes in a virtual society, emerging out of the actions and interactions of individual heterogeneous agents in a city or region. Agent decision-making is flexible and incorporates behavioural factors, bounded rationality, interactions, and learning. Although SABM is actively used to study social, economic, and environmental problems, including CCA, they have not yet been used to explore the mutual dynamics of adverse climate impacts and poverty traps. You are expected to make methodological advancements in understanding the role of CCA in the emergence of poverty traps.</p>
<p>Further, to properly evaluate and understand the impact of a particular policy, it is necessary to develop natural-scale simulations and execute several simulation instances. Therefore, you should explore several strategies in scaling the SABM in collaboration with engineers from the Netherlands eScience Centre within this project. Speeding up massive SABM is crucial for their application to real world problems, especially when CCA decisions are to impact marginalized communities in cities on the Global South. You will specifically focus on urban informal settlements and collaborations with the Red Cross Red Crescent Climate Centre are foreseen.</p>
<p>You will be hired at the Computational Science Lab, Informatics Institute (IvI) in the Faculty of Science (FNWI) at the University of Amsterdam (UvA). You are also expected to spend part of your time at the Department of Multi-Actor Systems in the Faculty of Technology, Policy and Management at TU Delft, and to collaborate actively with the Netherlands eScience Centre.</p>
<p><strong>What are you going to do</strong></p>
<ul>
<li>Develop and scale up a spatially explicit agent-based model to systematically explore the factors reinforcing poverty traps as climate change intensifies.</li>
<li>Perform sensitivity analysis of the model. Develop and implement strategies for model calibration and validation.</li>
<li>Collaborate with researchers at Red Cross Red Crescent Climate Centre to explore a wide range of real-world scenarios using the agent-based model.</li>
<li>Publish in high level international journals, presenting at leading conferences and collaborate with PhD/Master/Bachelor students.</li>
<li>Assure research data management following the FAIR data principles.</li>
<li>You will have the opportunity to contribute to policy reports and translating scientific evidence to practical recommendations.</li>
</ul>
<p><strong>What do we require of you</strong></p>
<ul>
<li>PhD degree in Computer Science, Developmental Economics or Environmental Sciences and interests in the social sciences.</li>
<li>Expertise in spatial agent-based modelling and good understanding of methods for model analysis and evaluation (e.g. global sensitivity analysis). Experience with programming agent-based models in Python.</li>
<li>Background in the field of poverty traps, climate change or flood risk policy is an asset.</li>
<li>Ability to work well within a multidisciplinary team.</li>
<li>Good communicative skills in English, both written and oral. Please identify your three key publications in the motivation letter.</li>
</ul>Postdoctoral Research Fellow in High-Performance Social Simulation (TU Delft)2021-12-13T20:02:05.640446+00:002021-12-13T20:02:05.708539+00:00kaclaborn/users/3304/https://www.comses.net/jobs/542/<p>TU Delft has an opening for a postdoctoral research fellow at the intersection of social simulation and high-performance algorithms. The goal of project is to develop methods to speed large-scale agent-based modelling (ABMs), for example by means of effective parallelization using High Performance Computing (HPC). The use of machine learning for efficient ABM simulations will enable uncertainty and global sensitivity analysis of large ensembles of ABM runs. The postdoc will use the HPC cluster newly established at TU Delft in 2021.</p>
<p>The successful candidate will work closely with faculty members at the TU Delft faculties of Technology, Policy and Management, and Electrical Engineering, Mathematics and Computer Science. Working with Prof Tatiana Filatova, Dr Jan Kwakkel and Dr Neil Yorke-Smith, the candidate will study how theory-informed meta-modelling and learned surrogate models can accelerate agent-based models.</p>
<p>This two-year position as a part of the EU project TAILOR (Foundations of Trustworthy AI, Integrating Reasoning, Learning and Optimization, <a href="http://tailor-network.eu">tailor-network.eu</a>) in conjunction with the TU Delft Institute for Computational Science and Engineering (DCSE, <a href="http://tudelft.nl/cse">tudelft.nl/cse</a>). The TAILOR network is funded by the European Union to build the capacity of the scientific foundations for trustworthy AI in Europe, by developing a network of research excellence centres leveraging and combining learning, optimization and reasoning. The successful candidate will have access to the TAILOR network, including travel and mobility funds.</p>
<p>DCSE is a TU Delft Institute with faculty members from six faculties, comprising some 40 research groups and more than 300 faculty members. Among its computational facilities, TU Delft possesses a new 2 petaflop supercomputer, in addition to access to Dutch national computing resources.</p>
<p>The position is offered for a fixed term of two years starting no later than 1 April 2022. </p>
<p><strong>Requirements</strong></p>
<p>The ideal candidate is expected to:</p>
<ul>
<li>Have a PhD degree in Computer Science or other computational subject; or in social science with strong computational experience;</li>
<li>Have a background in agent-based modelling, artificial intelligence or high-performance computing;</li>
<li>Possess working knowledge of Python and demonstrated programming experience;</li>
<li>Conduct international-level research, with a track record of prior publication in top international venues;</li>
<li>Have full professional working fluency in English;</li>
<li>Experience with machine learning toolkits is desired;</li>
<li>Previous experience with HPC is an advantage. </li>
</ul>Researchers in Climate Change Adaptation Modelling2021-12-13T14:15:41.669857+00:002021-12-13T14:15:41.761629+00:00marcojanssen/users/4/https://www.comses.net/jobs/541/<p>Fondazione Eni Enrico Mattei (FEEM) is looking for qualified and motivated researchers to fill 3 positions in the field of Climate Change Adaptation Modelling. The candidates will join the team working in the area of “Climate Change Adaptation in Coastal Areas” (ADAPT@VE), a research program aimed at understanding and interpreting the current societal changes in response to the challenges for adaptating to climate change. The goal is to develop answers to key questions concerning the multi-scale relationships between global drivers and local dynamics of adaptation.</p>
<p>The ADPT@VE research programme will start its activities in early January 2022.</p>
<p>The following research areas and competences are foreseen in the initial phase:</p>
<p>Climate Change economics;<br>
Socio-ecosystem modelling;<br>
Agent Based Models;<br>
Integrated Assessment Models;<br>
System Dynamic models;<br>
Spatial Data Analysis and Modelling.<br>
Candidates are not expected to cover the whole set of competences and topics, but experiences in more than one of them will be considered as a plus.</p>
<p>FEEM is a leading research institute on sustainable development and offers an invaluable research environment and an interdisciplinary workplace, with diverse skills and international staff. FEEM has strong ties with a worldwide network of research institutions engaged in economic research and provides excellent opportunities to focus on research and disseminate results in international conferences and stakeholders’ events.</p>
<p>The selected applicants will be based in Venice (Italy) and will primarily focus on research projects. The candidates will also be asked to contribute to internal activities and to participate in conferences, workshops, and stakeholders’ events. As part of his/her duties, the candidate will have to finalize the research efforts in scientific articles or similar products (i.e. book chapters, books) as well as in nontechnical products for dissemination like policy briefs.</p>
<p>The job assignment is expected to begin as soon as possible. Gross salary is competitive and will be based on qualification and experience.</p>
<p>Requirements</p>
<p>The research activities of the ADAPT@VE program are primarily empirical and relate to the spheres of environmental economics and modelling. A background with solid quantitative skills, as demonstrated by the achievement of at least a <a href="http://M.Sc">M.Sc</a>. in a subject area related to the job description is compulsory and may range from economics, to environmental sciences, engineering, or physics. A Ph.D. degree is not compulsory, but it is highly valued.</p>
<p>The ideal candidate:</p>
<p>is familiar with the advanced approaches to the modelling of social and ecological systems;<br>
has a solid quantitative background in statistics and mathematics, acquired during advanced postgraduate courses;<br>
has sufficient command of standard statistical packages, like R, and/or geographical ones, such as QGIS;<br>
can operate in an international context with English as a working language, but is also fluent in Italian;<br>
is highly committed to develop a research project;<br>
can work independently.</p>
<p>How to apply</p>
<p>Applicants can submit their application (including a detailed curriculum vitae and a motivation letter) HERE. Please mention ref.: ADAPT@VE-DEC.01.2021 in the application.</p>
<p>Deadline for applications</p>
<p>FEEM will begin considering candidates immediately and will continue until the position is filled. Please submit your application at your earliest convenience and mention ref: ADAPT@VE-DEC.01.2021.</p>PhD "Resilient Landscapes" at Anhalt University of Applied Sciences (Germany)2021-12-01T08:39:47.627353+00:002021-12-01T08:41:21.886027+00:00markusmeyer/users/3393/https://www.comses.net/jobs/540/<p>Welcome to Anhalt University of Applied Sciences, one of the leading research universities in in Saxony-Anhalt. Located in the heart of Central Germany and as one of Germany’s ‘Innovative Universities’, Anhalt University combines international-level research and teaching with excellent study and living conditions.<br>
With more than 70 degree programs, we provide students with the freedom to develop their own personalities. Most importantly, we prepare about 7,500 German and international students for a successful career start.</p>
<p>At the Department of Agriculture, Ecotrophology and Landscape Development of the Anhalt University of Applied Sciences, Campus Bernburg, at the chair of National and International Nature Conservation, is a vacancy for a PhD position earliest possible starting date and for a limited period of three years.</p>
<p>Your tasks will include:<br>
• selection of methods and indicators for assessing the resilience of (agricultural) landscapes<br>
• identification of governance instruments (e.g. agri-environmental measures) with possible influence on the resilience of<br>
(agricultural) landscapes in a European context<br>
• model-based assessment of resilience in (agricultural) landscapes in Central Germany<br>
• publication of results in international journals<br>
• presentation of results at workshops and conferences</p>
<p>Within the scope of the assigned tasks, we offer the opportunity for developing your own ideas to obtain a doctoral degree. </p>
<p>Requirements:<br>
• academic degree (diploma or master’s degree) in environmental sciences, (landscape) ecology, nature conservation,<br>
landscape planning, agricultural sciences, geosciences or related disciplines<br>
• very good knowledge in GIS and spatial as well as statistical data analysis (preferably with R)<br>
• ideally experience, but at least interest in (simulation) models of landscape dynamics (e.g. agent-based models, cellular automata)<br>
• good command of written and spoken English<br>
• German language skills will be appreciated<br>
• a high level of commitment, stress resistance and the ability to work in a team<br>
• a creative, analytical and critical mind<br>
• an independent and structured working style</p>
<p>You can expect:<br>
• participation in an exciting interdisciplinary research project with high practical relevance<br>
• support and promotion of your PhD, based on quality assurance of your PhD work through regular networking meetings<br>
and feedback sessions at the Graduate Academy and the PhD Centre<br>
• excellent research opportunities in a creative and very well equipped working environment<br>
• support services for work-life balance, such as employee child office, emergency care, life situation coaching, child care<br>
as well as consulting services in the field of home and eldercare</p>
<p>Any questions about this position will be answered by:<br>
Prof. Dr. Markus Meyer<br>
email: <a href="http://">markus.meyer@hs-anhalt.de</a></p>
<p>If you are interested in the position, please send your application materials by 12.12.2021 to <a href="http://">bewerbung@hs-anhalt.de</a>.</p>PhD position at UFZ Leipzig (Germany) on “Modelling human-environment systems: How to effectively design climate risk instruments?”2021-11-23T13:05:19.641027+00:002021-11-23T13:07:43.087080+00:00birgit.mueller.ufz/users/665/https://www.comses.net/jobs/539/<p>At the Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany, a new research project InsuranceGrass (‘Assessment of formal, natural and social insurances: how to cope best with impacts of extreme events on grasslands for sustainable farming systems?’) will be launched. In this interdisciplinary project, a total of four doctoral students from the Helmholtz Centre for Environmental Research – UFZ, the University of Leipzig and ETH Zürich will collaborate addressing management of climate risks in grassland-based farming systems in Germany and Switzerland. The project investigates the potential role of financial, natural and social insurance mechanisms to cope with increasing climate risks, identifies interdependencies between insurance types and derives recommendations for optimal industry and public policies. At the UFZ, this project will be embedded in the Working Group POLISES (‘Policy Instruments and Social-Environmental Systems under Global Change’). The InsuranceGrass project invites applications for the following vacancy:</p>
<p><strong>PhD position (m/f/x)<br>
Modelling human-environment systems: How to effectively design climate risk instruments?</strong></p>
<p>Working time 65% (25,35 hours per week), limited to three years. The starting date is 1 April 2022.</p>
<p>Your tasks:<br>
• Develop a social-ecological simulation model (in particular agent-based model) that incorporates feedbacks between farmers’ and consumers’ decision, grassland management options, and ecosystem service provision in a dynamic matter<br>
• Parameterize the model with empirical data obtained in other work packages of the project<br>
• Contribute to a thorough understanding of how insurance products and policies should be designed to work effectively for farmers’ climate risk management and to promote sustainable grassland management<br>
• Use the model to explore the potential of social insurances, especially arrangements within community-supported agriculture and payments for ecosystem services.<br>
• Exchange knowledge with local and European stakeholders relevant in this research context (i.e., farmers, insurance companies, public administration)</p>
<p>Your profile:<br>
• An excellent master’s degree in a relevant field of research, including system sciences, mathematics, physics, agricultural economics, geography<br>
• Expertise in modelling and analyzing complex systems (experience in agent-based modelling is beneficial)<br>
• Proficiency in computer programming (e.g. NetLogo, C++, Java) and advanced statistical methods<br>
• Deep interest in investigating the impact of climate risk instruments (such as agricultural insurance or community supported agriculture) on farmers’ behavior and ecological state of the grassland system.<br>
• Excellent knowledge of spoken and written English and ambition to publish in international journals<br>
• High motivation to work in an international and interdisciplinary team<br>
• Readiness to travel within and beyond Europe to meet cooperation partners and attend conferences, workshops and courses</p>Research Fellow in Simulation Modelling - University of Leeds, UK2021-11-22T16:34:09.487719+00:002021-11-22T16:34:09.540389+00:00kaclaborn/users/3304/https://www.comses.net/jobs/538/<p>Are you an ambitious researcher looking for your next challenge? Do you want to apply your quantitative skills to provide insight into policy? Do you want to further your career in one of the UK’s leading research intensive Universities?</p>
<p>The University of Leeds is seeking to appoint a talented and highly motivated Research Fellow in Simulation Modelling to join The SIPHER Consortium, a large UK public health research initiative, established with funding from the UK Prevention Research Partnership (UKPRP). SIPHER is developing research to prevent physical and mental ill health, and tackle persistent health inequalities. It will work across some of the most important social determinants of health: inclusive economic growth; decent and affordable housing; policies that promote mental wellbeing, and mitigating the long-term effects of adverse childhood experiences. SIPHER is a multidisciplinary, multi-institution partnership bringing together seven universities, policy partners at local, regional and national scales of Government, including: Scottish Government, Greater Manchester Combined Authority and Sheffield City Council, as well as a large number of senior practice partners, e.g. Public Health England, Public Health Wales, the Local Government Association and NICE.</p>
<p>You will develop individual level models, together with underpinning methods that capture the dynamic relationships between societal conditions, such as economic growth, affordable housing or adverse childhood experiences, on the one hand and health and wellbeing on the other. You will use these models to produce estimates of distributional (inequality) impacts needed for policy appraisal at high spatial resolution and assesses the evolution over time of effects in the system. You will liaise with other SIPHER researchers to formulate causal and dynamic model structures, use data from a wide range of sources, and knowledge elicited from experts to build models for prediction and provide quantification of associated uncertainties. You will also calibrate and validate these models in close dialogue with other SIPHER researchers and practice partners. You will be responsible for dealing with data from a range of partners, this will include undertaking data analytics, manipulation and linkage to create a dynamic data infrastructure for the SIPHER consortium.</p>10 Junior (postdoc) / Senior Fellowships in Aachen (Germany)2021-11-22T16:31:03.781414+00:002021-11-22T16:31:03.853336+00:00kaclaborn/users/3304/https://www.comses.net/jobs/537/<p>We are pleased to announce the call for 10 new fellowships in the academic year 2022/2023, starting in October 2022, for the recently established Kate Hamburger Kolleg “Cultures of Research” at RWTH Aachen University (Germany). Eligible applicants are expected to come from the humanities, social sciences and STS as well as from natural, life and technical sciences. This International Center for Advanced Studies at RWTH Aachen University is funded by the German Federal Ministry of Education and Research. Part of its mission is to offer a free space to its fellows to develop their own research and to exchange ideas up to 12 months.</p>
<p>The topic Cultures of Research is positioned where the fields of philosophy, sociology and history interface with natural science and technology. The overall focus of the Center’s work is on transformations of science and technology towards complexity, life-likeness and emergence. We are particularly interested in digitalization of research (simulation, artificial intelligence, machine learning) for studying complex systems (e.g. climate change, energy revolution, biologization, sustainability), in participatory arrangements between science and society and in investigating histories and varieties of cultures of research.</p>
<p>Our aim is to explore new cultures of (transdisciplinary) research, but also to develop new theories and methodologies for investigating the mentioned scientific transformations.<br>
Against this backdrop we encourage applications by candidates coming from:</p>
<ul>
<li>the humanities, social sciences and STS to explore scientific and technological transformations;</li>
<li>natural, life and technical sciences to explore complex systems; and</li>
<li>arts, art history, science journalism and scientific illustration to explore the mediation and representation of complexities and complex findings in science and technology.</li>
</ul>
<p>Location<br>
The international center is part of RWTH Aachen University (Germany), which with a student body of 47,000 is one of the largest technical universities in Europe. With over fifty professorships and ten institutes from the humanities and social sciences, the Faculty of Arts and Humanities is an integral part of the interdisciplinary culture of teaching and<br>
research at RWTH Aachen University. Located at the borders of Germany, Belgium, and The Netherlands (Euregio), it has close ties with STS institutes at the universities of Maastricht and Liège, and with the Jülich–Aachen Research Alliance (JARA BRAIN) at the neighboring Jülich Research Center, a research campus of more than 5,000 researchers.</p>
<p>Fellowship<br>
Fellows will join the international center for a maximum period of 12 months. The fellowships provide a full grant commensurate with applicants’ level of professional experience, working space in fully-equipped offices, logistical support, and access to the interdisciplinary research landscape and research labs at RWTH Aachen University. Fellows who take unpaid leave during their fellowship will receive financial compensation in the form of a stipend; alternatively, the center would pay for a teaching replacement at the fellow’s home institution. In order to create a stimulating intellectual environment among the resident research community, fellows are expected to routinely conduct much of their work from Aachen during their fellowship. Residency in Aachen is required and the center can support fellows in the search for accommodation.</p>
<p>Applications<br>
Scholars can apply for either junior or senior fellowships. For junior fellows a successfully completed PhD is an eligibility requirement; for senior fellowships a professorship (associate, full professorship) or comparable position is expected. Applications (in English) should include a cover/motivational letter (1 page), CV (tabular, max. 2 pages), a project outline incl. intended goals/outcome of the project (max. 1300 words), and a list of publications. Please also submit a writing sample (journal article or book-chapter). Applications can be submitted via our application portal that you find here.<br>
<a href="https://urldefense.com/v3/">https://urldefense.com/v3/</a><strong><a href="https://rwthaachen.moveon4.de/locallogin/616e986bce8f8a7c10019fb8/eng">https://rwthaachen.moveon4.de/locallogin/616e986bce8f8a7c10019fb8/eng</a></strong>;!!IKRxdwAv5BmarQ!ILchu2-9UZ9Vs-nXaaM8THyIBwpan21yM9nqtJOaxMJ7HZ_wj4KpyvV4XRvqOo8AQY4$</p>
<p>The deadline for applications is December 31, 2021.</p>
<p>Female researchers and scholars from the Global South are particularly encouraged to apply. For further information please visit the FAQs on our website<br>
<a href="https://urldefense.com/v3/">https://urldefense.com/v3/</a><strong><a href="https://khk.rwth-aachen.de/faq/">https://khk.rwth-aachen.de/faq/</a></strong>;!!IKRxdwAv5BmarQ!ILchu2-9UZ9Vs-nXaaM8THyIBwpan21yM9nqtJOaxMJ7HZ_wj4KpyvV4XRvq9BvmzZo$</p>Postdoc opportunity - Regional Transportation Systems Modeling - Southern California2021-11-19T15:42:01.363794+00:002021-11-19T15:42:28.749151+00:00kaclaborn/users/3304/https://www.comses.net/jobs/536/<p>The Institute of Transportation Studies at UC Irvine invites applications for a postdoctoral scholar position beginning fall 2021 or January 2022.</p>
<p>We are seeking a motivated postdoctoral scholar interested in a new NSF Smart & Connected Communities research project that aims to dramatically improve how metropolitan areas plan for and thus leverage intelligent transportation technologies to solve pressing societal problems. The project team will accomplish this goal through targeted improvements to regional transportation system modeling (RTSM) in the short term and by fundamentally revamping RTSM in the long run. The model developments will directly support regional planning to ultimately improve community outcomes related to equity, environmental sustainability, accessibility, and mobility. To improve RTSMs in the short run, we will develop flexible and detailed models of mobility-on-demand services, identify and/or develop equity metrics and equity analysis techniques, and develop low-resolution transportation models for sketch planning. To fundamentally revamp RTSMs in the long run, we will develop a prescriptive (i.e., optimization-based) multi -level, -resolution, and -objective pathway-based RTSM framework to both analyze and recommend combinations of transportation and land use policies and infrastructure investments (i.e., regional plans).</p>
<p><strong>The candidate should have (ideally) experience with or (at minimum) knowledge of:</strong></p>
<ul>
<li>The practice of transportation planning and modeling</li>
<li>The implementation of large-scale trip-based and activity-based travel demand models as well as large-scale multi-modal transportation network models</li>
</ul>
<p><strong>The ideal candidate will also have experience with:</strong></p>
<ul>
<li>Land-use modeling</li>
<li>The transportation planning process</li>
<li>Working with government agencies, particularly transportation planning agencies</li>
<li>Travel behavior analysis</li>
<li>Leading research projects</li>
<li>Managing graduate student</li>
<li>Cloud computing and/or high-performance computing</li>
</ul>
<p>The postdoctoral scholar will work with the entire research team including the PI Michael Hyland; Co-PIs Michael McNally, Steve Ritchie, R. Jayakrishnan, Nicholas Marantz, and Wenlong Jin; Project Scientist Craig Rindt; and two or more graduate student researchers.</p>
<p>The postdoctoral scholar, alongside the research team, will conceptualize and develop a suite of integrated multi-resolution transportation system modeling tools to support regional transportation planning at the San Diego Association of Governments (SANDAG) specifically.</p>
<p>The postdoctoral scholar will be directly responsible for implementing, testing, calibrating, and validating the suite of multi-resolution models of transportation systems. Additionally, they will be responsible for leading and managing two or more GSRs working on the project.</p>
<p>The postdoctoral scholar will be using existing open-source software developed by or for SANDAG. However, the postdoctoral scholar will work in Python and C++ to develop and integrate the new modeling tools. Developing and implementing scalable models for large networks with a large number of agents is critical to the success of the project.</p>
<p>Please contact Prof. Michael Hyland with any questions about the position at hylandm@uci.edu</p>Postdoc position in Rome: How social norms emerge and change in on-line communities2021-11-05T21:41:21.862295+00:002021-11-05T21:41:22.018024+00:00kaclaborn/users/3304/https://www.comses.net/jobs/535/<p>The Laboratory of Agent Based Social Simulation (LABSS) at the Institute of Cognitive Sciences and Technologies of the National Research Council of Italy (CNR) is opening a post-doc position for investigating how social norms emerge and change in on-line communities and the extent to which they affect the debate in the online context, e.g., spreading of misinformation and “fake news”, hate speech, etc. This line of research will contribute to the research agenda of the EU-funded HUMANE-AI NET, a network that brings together top European research centers, universities and key industrial champions interested in developing AI-systems capable of “understanding” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings.</p>
<p>The appointment will be for one year (12 months) and it may be extended for an additional period. According to his/her experience, the successful candidate will contribute to this line of research through either a computational approach or an experimental approach.</p>
<p><strong>Job description </strong></p>
<p>Strong and highly motivated candidates with a background in computer science, computational social science or experimental social sciences are invited to apply. Alternative Phd programs with a strong focus on modelling and/or empirical testing will also be considered.</p>
<p>The candidate experience should match one of the following two:</p>
<ul>
<li>Programming skills (e.g., Python, C++), knowledge of agent-based simulation platforms (e.g., NetLogo) and interest in in the modeling of human and social interactions.</li>
<li>Experience with the design of laboratory and on-line experiments (O-tree, Z-tree), knowledge of statistical data analysis tools (e.g., R).</li>
</ul>
<p>Candidates should have substantial methodological expertise in quantitative analysis of social dynamics. Previous experience with working on social norms’ dynamics is a plus. The working language is English.</p>
<p>PhD is not a requirement. We will also consider candidates who are nearing the end of their PhD.</p>
<p><strong>Starting from:</strong> The successful applicant is expected to start on January 3rd 2022, or as soon as possible thereafter.</p>
<p>More information can be found at: <a href="https://labss.istc.cnr.it/news/postdoc-advertisement-how-social-norms-emerge-and-change-in-on-line-communities">https://labss.istc.cnr.it/news/postdoc-advertisement-how-social-norms-emerge-and-change-in-on-line-communities</a></p>ABM Postdoc Position in Namur, Belgium (10 months – full time)2021-11-03T20:00:46.659964+00:002021-11-25T09:36:16.572012+00:00fdelongu/users/2751/https://www.comses.net/jobs/534/<p>The Department of Geography of the University of Namur (located approx. 1 hour from Brussels) is hiring a postdoctoral researcher to work in the framework of the MAPPY project funded by AXIS/JPI-Climate (<a href="http://www.jpiclimate.eu/AXIS/Activities/MAPPY">http://www.jpiclimate.eu/AXIS/Activities/MAPPY</a>). This project studies the interactions between pollinators, plant diversity and crop yields, under climate and land use change. The hired researcher will continue the development of an agent-based model (ABM) to derive high-resolution land use and land cover change scenarios for the future at the scale of the studied regions located in five European countries.</p>
<p>Candidates must hold a PhD in geography, ecology, bioinformatics, bioengineering, ecological or environmental economics, or equivalent topics. They should have strong computer skills and be familiar with object-oriented programming, data modelling & integration, and agent-based modelling in particular. Knowledge of JAVA is a real plus. They should have an interest in environmental issues and sustainable development. Candidates should also have good abilities to work in a team, whilst capable of strong autonomy and creativity. </p>
<p>The offer:<br>
A full time postdoctoral position for 10 months<br>
Start date: January 2022<br>
The candidate will join an interdisciplinary team of researchers at UNamur and will also work within an international research consortium.</p>
<p>To be eligible, candidates should have spent no more than 24 months in Belgium in the three years preceding January 2022 and must have obtained their doctoral degree within the last eight years if this is their first post-doctoral fellowship.</p>
<p>If you wish to apply, please contact nicolas.dendoncker@unamur.be before 15 December 2021.</p>Research Associate in Complexity Economics2021-10-29T15:34:25.645264+00:002021-10-29T15:34:25.752334+00:00kaclaborn/users/3304/https://www.comses.net/jobs/533/<p>We are seeking an outstanding Research Associate to undertake research for the EEIST project. The role will contribute directly to the new climate and energy-related economic and social modelling being conducted as part of EEIST. The EEIST project is developing and applying innovative policy assessment and complexity economics modelling approaches in the UK, China, India, Brazil and the EU.</p>
<p>School of Geography and the Environment, South Parks Road, Oxford OX1 3QY</p>
<p>Grade 7: £33,309 - £40,927 per annum</p>
<p>The successful candidate will manage their own academic research and administrative activities. This will involve small scale project management, to coordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new research methodologies and materials. You will collaborate in the preparation of research publications, and book chapters. Specifically, you will contribute to the development of a new data-driven systems mapping approach, using a range of quantitative and qualitative data sets to build and analyse large system maps (i.e. directed cyclic networks representing causal and influence relationships in a system). You will apply this approach to study the interaction of the post-carbon transition, the economy, and the Sustainable Development Goals, in line with EEIST stakeholder needs. You may also provide research support to other modelling efforts within EEIST where needed.</p>
<p>You must hold, or be close to completion, of a relevant PhD/DPhil. These may come from a broad set of backgrounds and subjects, for example, you may have a background in the social sciences but have experience making use of computational and/or sophisticated statistical methodologies; or you may have a background in the computer or mathematical sciences, and have worked on social, economic, and policy questions. You will possess sufficient specialist knowledge in the discipline to work within established research programmes. Previous experience of contributing to high-quality high-impact publications/presentations is essential. You will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.</p>
<p>Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE and SSEE are committed to equality and value diversity.</p>
<p>This is a full-time post offered for 1 year.</p>
<p>Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.</p>
<p>The closing date for applications is 12:00 noon on Friday 19 November 2021, and interviews will be late November 2021.</p>Two PhD Scholarships - ABM and cycling - Monash University2021-10-29T15:19:10.029449+00:002021-10-29T15:19:10.056350+00:00kaclaborn/users/3304/https://www.comses.net/jobs/532/<p>Two fully-funded PhD scholarships are available in agent-based modelling to explore interventions to increase cycling as an active, safe, and sustainable mode of transport. The PhD programs will be hosted by the Sustainable Mobility and Safety Research Group in the School of Public Health and Preventive Medicine at Monash University.</p>
<p>The central goal of these PhD programs is to advance the understanding of how interventions (e.g. infrastructure, behaviour change campaigns, equipment, financial incentives) affect cycling participation, and how these interventions might also impact health and equity (e.g. increasing cycling in typically underrepresented groups, such as in women and in lower socioeconomic areas). Specifically, the projects will explore what factors may drive modal shift toward greater uptake of cycling (e.g. private car disincentives, cycling incentives) and how those policies work and potentially interact. The PhD programs may draw upon quantitative (discrete choice experiments) and qualitative (focus groups, semi-structured interviews) methods, evidence reviews, agent-based modelling and health impact assessments.</p>
<p>These PhD programs will enable a better understanding of key policies and interventions needed to increase cycling participation and maximise health and equity outcomes.</p>
<p>These PhD programs will be supervised by Dr Ben Beck (Head of Sustainable Mobility and Safety Research, School of Public Health and Preventive Medicine, Monash University) and Dr Jason Thompson (Senior Research Fellow, Transport, Health and Urban Design (THUD), Melbourne School of Design, University of Melbourne).</p>
<p><a href="https://careers.pageuppeople.com/513/cw/en/job/626948/phd-scholarship-agentbased-modelling-of-interventions-to-increase-cycling-as-an-active-and-sustainable-mode-of-transport">https://careers.pageuppeople.com/513/cw/en/job/626948/phd-scholarship-agentbased-modelling-of-interventions-to-increase-cycling-as-an-active-and-sustainable-mode-of-transport</a></p>Research Associate - University of Glasgow - Agent-based modelling2021-10-29T15:15:12.258079+00:002021-10-29T15:15:12.368064+00:00kaclaborn/users/3304/https://www.comses.net/jobs/531/<p><strong>College of Medical, Veterinary and Life Sciences</strong></p>
<p>We have an opportunity for a Research Associate to contribute to the group’s research in complex system simulation methods, particularly agent-based modelling. The postholder requires up to date knowledge, understanding and experience of complex systems simulation modelling (including spatial agent-based models) and knowledge/experience of computer programming languages or platforms suitable for this kind of work. Experience in applying these methods to health is desirable, but not essential – experience from other fields would be welcome.</p>
<p>This position is full time with funding for up to 2.5 years in the first instance.</p>
<p>For informal enquiries, please contact Dr Silverman [phone (+44 (0)141) 353-7565; email Eric.Silverman@glasgow.ac.uk].</p>
<p>For more information and to apply online please follow the link: <a href="https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=069307">https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=069307</a></p>
<p><strong>Closing date: 15 November 2021</strong></p>Research Associate - University of Glasgow - Complex systems simulation methods2021-10-29T15:13:37.344409+00:002021-10-29T15:15:46.547347+00:00kaclaborn/users/3304/https://www.comses.net/jobs/530/<p><strong>College of Medical, Veterinary and Life Sciences</strong></p>
<p><strong>Fixed term for 2 years</strong></p>
<p>We have an opportunity for a Research Associate to contribute to the Unit’s research in complex systems simulation methods, and to the UKPRP-funded PHASE project (Population Health Agent-based Simulation Network). Within the research group, the postholder will contribute to research in complex systems methods as applied to population health, and will be a member of the Modelling Complex Systems workstream focusing on agent-based simulations. Within PHASE, the postholder will assist the Network Management Group in developing training and networking events focusing on agent-based modelling for population health, and will assist PHASE Network members in developing project ideas and prototypes using PHASE seed funding.</p>
<p>This position is full time with funding for up to 2 years in the first instance.</p>
<p>For informal enquiries, please contact Dr Silverman [phone (+44 (0)141) 353-7565; email Eric.Silverman@glasgow.ac.uk].</p>
<p>For more information and to apply online please follow the link: <a href="https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=069087">https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=069087</a></p>
<p><strong>Closing date: 15 November 2021</strong></p>Post-doctoral fellow to develop ABM application of environmental influences on migration in Senegal using the MIDAS framework at Boston University2021-09-29T01:50:15.711464+00:002021-10-03T16:56:04.277228+00:00abell/users/1185/https://www.comses.net/jobs/529/<p>We are seeking a post-doctoral research fellow for a 1-year appointment with the possibility for a further 1-year renewal, to develop an application of the MIDAS (Migration, Intensification, and Diversification as Adaptive Strategies) modeling framework to examine influences of environmental variability on migration flows in West Africa. The successful candidate will work with a team of researchers from BU, NYU, and Columbia University to assist in convening a series of knowledge-brokering workshops with policy stakeholders in Senegal to jointly identify key modeling questions and processes, develop and calibrate a modeling application, and co-develop modeling syntheses and policy outputs. This position requires strong quantitative skills, coding skills, and some experience with agent-based modeling.</p>
<p>Additional strengths include skills in facilitation and in working with partners across different disciplines, cultures, or languages; skills in French language; as well as a demonstrated interest in migration issues.</p>
<p>Candidates should send a cover letter outlining how this work aligns with their past research and current research goals, a CV, sample computer codes (and if applicable, a link to GitHub repositories), and a recent writing sample, to <a href="https://academicjobsonline.org/ajo/edelivery/4622">https://academicjobsonline.org/ajo/edelivery/4622</a> (delivery service only - no ad is posted there). First review of applications will be on October 1 and continue until the position is filled. Please direct any questions to Andrew Bell (bellar@bu.edu) with the subject line “MIDAS Post-doctoral Fellow Search.”</p>3 Postdocs in Computational Social Science2021-09-14T09:32:23.495109+00:002021-09-14T09:32:24.214794+00:00oguerrer/users/1455/https://www.comses.net/jobs/528/<p>Dear colleagues (apologies for cross-posting),</p>
<p>Please feel free to circulate the following job opportunities among your peers.</p>
<p>I am looking to hire three postdocs in Computational Social Science at The Alan Turing Institute, the UK’s national institute for data science and AI. They will work as part of the Policy Modelling Theme, in an exciting research environment, and with a unique opportunity to have impact in real-world policymaking. These positions are for two years and take place in three different areas (application deadline is October 17):</p>
<ul>
<li>Wealth inequality: <a href="https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_policy_modelling_for_wealth_inequality_16729/en/">https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_policy_modelling_for_wealth_inequality_16729/en/</a></li>
<li>Housing markets: <a href="https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_computational_social_science_16736/en/">https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_computational_social_science_16736/en/</a></li>
<li>Text analysis & causal inference: <a href="https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_text_analysis_and_causal_inference_16754/en/">https://cezanneondemand.intervieweb.it/turing/jobs/postdoctoral_research_associate_text_analysis_and_causal_inference_16754/en/</a></li>
</ul>
<p>Kind regards,</p>
<p>Omar A. Guerrero</p>
<p>Head of Computational Social Science Research</p>
<p>Public Policy Programme</p>
<p>The Alan Turing Institute</p>
<p>oguerrero@turing.ac.uk</p>
<p><a href="http://oguerr.com">oguerr.com</a></p>ABM Postdoc Position in Namur, Belgium (12 months – full time)2021-08-13T15:31:36.975390+00:002021-08-13T15:31:37.215706+00:00marcojanssen/users/4/https://www.comses.net/jobs/527/<p>The Department of Geography of the University of Namur (located approx. 1 hour from Brussels) is hiring a postdoctoral researcher to work in the framework of the MAPPY project funded by AXIS/JPI-Climate (<a href="http://www.jpiclimate.eu/AXIS/Activities/MAPPY">http://www.jpiclimate.eu/AXIS/Activities/MAPPY</a>). This project studies the interactions between pollinators, plant diversity and crop yields, under climate and land use change. The hired researcher will continue the development of an agent-based model (ABM) to derive high-resolution land use and land cover change scenarios for the future at the scale of the studied regions located in five European countries. </p>
<p>Candidates must hold a PhD in geography, ecology, bioinformatics, bioengineering, ecological or environmental economics, or equivalent topics. They should have strong computer skills and be familiar with object-oriented programming, data modelling & integration, and agent-based modelling in particular. Knowledge of JAVA is a real plus. They should have an interest in environmental issues and sustainable development. Candidates should also have good abilities to work in a team, whilst capable of strong autonomy and creativity. </p>
<p>The offer: <br>
A postdoctoral position for 12 months (full time, ca. €2600 net per month) <br>
Start date is ideally October 2021 (to be discussed with the candidate) <br>
The candidate will join an interdisciplinary team of researchers at UNamur and will also work within an international research consortium. </p>
<p>To be eligible, candidates should have spent no more than 24 months in Belgium in the three years preceding October 2021 and must have obtained their doctoral degree within the last eight years if this is their first post-doctoral fellowship. </p>
<p>If you wish to apply, please contact nicolas.dendoncker@unamur.be ASAP and before 10th September.</p>3. Agent-Based Modeler2021-08-09T06:55:26.571940+00:002021-08-15T06:35:57.008335+00:00davoudtaghawinejad/users/3263/https://www.comses.net/jobs/526/<p>Whiteshield Partners is a global strategy & public policy advisory firm with a track record of delivering innovative perspectives and tangible results to an established portfolio of leaders from governments, international organizations and Fortune 500 companies.<br>
We are looking for an Agent-Based modeler, who is interested in building and maintaining agent-based and other models with an emphasis on economic modeling</p>
<p>In This Position You Will:<br>
o Build economic and social models using Agent-Based modelling<br>
o Build service products that are used for public policy making and political, geographical, and social risk prediction, corporate information <br>
o Support public policy consulting projects </p>
<p>Required Qualifications<br>
o PhD in Economics, Mathematics, Statistics, or related field with emphasis on economic modelling<br>
o Proficiency in Python<br>
o Experience in Experience in model building</p>
<p>Preferred Qualifications<br>
o Consulting or other professional experience in Public Policy <br>
o Strong communication skills<br>
o Proficiency with version controlling using GIT<br>
o Experience in model calibration / estimation</p>
<p>The role is based in Dubai. The role is a permanent position. A 7 month Dubai 5 month work from anywhere scheme is available.<br>
For further inquiries about the Data Science and Modelling Practice mail to davoud.taghawi-nejad@whiteshieldpartners.com<br>
For applications and inquiries about Whiteshield Partners mail to HR@whiteshieldpartners.com </p>4. Programmer and visualization specialist2021-08-09T06:54:53.286707+00:002021-08-15T06:36:30.127145+00:00davoudtaghawinejad/users/3263/https://www.comses.net/jobs/525/<p>Whiteshield Partners is a global strategy & public policy advisory firm with a track record of delivering innovative perspectives and tangible results to an established portfolio of leaders from governments, international organizations and Fortune 500 companies.<br>
Whiteshield Partners is hiring a talented front-end and Python programmer, who is familiar with data visualization.</p>
<p>In This Position You Will:<br>
o Design and develop data analysis and visualization tools <br>
o Build simple web-front ends for simulations<br>
o Support the development of Agent-Based Models as well as other simulations and models<br>
o Profile and optimize code for speed </p>
<p>Required Qualifications<br>
o High proficiency in Python<br>
o Familiarity with data visualisation <br>
o Minimum BA in computer science, physics, mathematics, or a related field with corresponding emphasis on visualization, computational science, and good software development practice<br>
o Strong communication skills<br>
o Proficiency with version controlling using GIT</p>
<p>Preferred Qualifications<br>
o Contribution to open-source projects<br>
o Familiarity with plotly and plotly Dash are an advantage<br>
o Familiarity with Cuda or GPU programming is an advantage<br>
o Demonstrated experience developing and delivering practical solutions to scientific visualization problems<br>
o JavaScript is a plus<br>
o experience in PEP8 compliant code<br>
o Experience in profiling and optimize code for speed<br>
o Experience with Continuous Integration </p>
<p>The role is based in Dubai. The role is a permanent position. A 7 month Dubai 5 month work from anywhere scheme is available.<br>
For further inquiries about the Data Science and Modelling Practice mail to davoud.taghawi-nejad@whiteshieldpartners.com<br>
For applications and inquiries about Whiteshield Partners mail to HR@whiteshieldpartners.com </p>2. Social Modeler2021-08-09T06:54:22.387540+00:002021-08-15T06:36:53.953398+00:00davoudtaghawinejad/users/3263/https://www.comses.net/jobs/524/<p>Whiteshield Partners is a global strategy & public policy advisory firm with a track record of delivering innovative perspectives and tangible results to an established portfolio of leaders from governments, international organizations and Fortune 500 companies.<br>
Whiteshield Partners is hiring a socio-economic modeler, who is interested in building and maintaining agent-based, micro-simulation, SD and other models, with an emphasis on social, population and economic modeling.</p>
<p>In This Position You Will:<br>
o Build social, population and economic models using various techniques, with a focus on Agent-Based and micro-simulation models<br>
o Build service products that are used for public policy making and political, geographical, and social risk prediction <br>
o Support public policy consulting projects <br>
o Maintain models of different techniques </p>
<p>Required Qualifications<br>
o PhD in Sociology, Economics, or related field with emphasis on social modelling<br>
o Proficiency in Python<br>
o Experience in Experience in model building</p>
<p>Preferred Qualifications<br>
o Consulting or other professional experience in Public Policy <br>
o Strong communication skills<br>
o Proficiency with version controlling using GIT<br>
o Experience in model calibration / estimation<br>
o Demographical modelling and research experience<br>
The role is based in Dubai. The position is permanent. A 7 month Dubai 5 month work from anywhere scheme is available.<br>
For further inquiries about the Data Science and Modelling Practice mail to davoud.taghawi-nejad@whiteshieldpartners.com<br>
For applications and inquiries about Whiteshield Partners mail to HR@whiteshieldpartners.com</p>1. Big Data and Machine Learning scientist2021-08-09T06:53:34.905531+00:002021-08-15T06:37:13.269610+00:00davoudtaghawinejad/users/3263/https://www.comses.net/jobs/523/<p>Whiteshield Partners is a global strategy & public policy advisory firm with a track record of delivering innovative perspectives and tangible results to an established portfolio of leaders from governments, international organizations and Fortune 500 companies.<br>
We are looking for a data-scientist, who works with statistical methods and machine learning methods on the intersection of big data and socio-economic modeling. </p>
<p>In This Position You Will:<br>
o Calibrate and estimate economic and social models<br>
o Conduct empirical investigations using both big and small datasets<br>
o Support the development of socio-economic models<br>
o Support public policy consulting projects </p>
<p>Required Qualifications<br>
o PhD in Statistic, Economics, or related field, with empirical and big data emphasis<br>
o Proficiency in Python<br>
o Experience in model calibration / estimation<br>
o Experience in exploratory data analysis</p>
<p>Preferred Qualifications<br>
o Consulting or other professional experience in Public Policy <br>
o Strong communication skills<br>
o Proficiency with version controlling using GIT<br>
o Experience in organisation of large data sets</p>
<p>The role is based in Dubai. The position is permanent. A 7 month Dubai 5 month work from anywhere scheme is available. <br>
For further inquiries about the Data Science and Modelling Practice mail to davoud.taghawi-nejad@whiteshieldpartners.com<br>
For applications and inquiries about Whiteshield Partners mail to HR@whiteshieldpartners.com <br>
</p>Postdoctoral Researcher: Urban Analytics and ABM2021-08-05T18:14:27.081162+00:002021-08-05T18:17:16.925842+00:00crooks/users/160/https://www.comses.net/jobs/522/<p>The Department of Geography at the University at Buffalo (UB) invites applicants for a postdoctoral researcher position with broad interests in urban analytics with a particular emphasis on modeling and simulation.</p>
<p>The postdoctoral researcher will be expected develop systems to collect and store social media data and use such data to inform and develop a portfolio of innovative agent-based models utilizing machine learning methods to study urban areas. The ideal candidate will have experience with developing agent-based models, social network analysis, GIS and machine learning. </p>
<p><strong>Key responsibilities:</strong></p>
<ul>
<li>Collecting, storing and analyzing social media data for a variety of urban topics.</li>
<li>Developing geographically explicit agent-based models.</li>
<li>Presenting material to broader community (i.e., publications conference presentations).</li>
</ul>
<p><strong>Required knowledge skills and abilities:</strong></p>
<ul>
<li>PhD. in geography, computer science or a related field (or expect to have obtained their PhD. by the time the post commences). </li>
<li>Ability to work independently and in an interdisciplinary research team.</li>
<li>Excellent written communication skills demonstrated by prior publications.</li>
<li>Strong programming skills in Python or Java.</li>
</ul>
<p><strong>Preferred Qualifications </strong> </p>
<ul>
<li>Familiarity with GIS, machine learning and social media data.</li>
<li>Experience with developing agent-based models.**</li>
</ul>
<p>This position is affiliated with the Department of Geography at the University at Buffalo (UB), a large R1 Research University on the shores of Lake Erie.</p>
<p><strong>Outstanding Benefits Package</strong> </p>
<p>Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages.</p>
<p><strong>About UB</strong></p>
<p>The University at Buffalo is SUNY’s most comprehensive public research university, and an outstanding place to work. UB amplifies ambition for faculty and staff by offering endless possibilities to achieve more. Here, people from all backgrounds and cultures challenge and inspire each other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowledge and understanding, and develop tenacious graduates who are valued for their talents and their impact on global society. Visit our website to learn more about the University at Buffalo.</p>
<p>As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.<br>
Further Details and How to Apply: <a href="https://www.ubjobs.buffalo.edu/postings/29858">https://www.ubjobs.buffalo.edu/postings/29858</a></p>
<p>If you have any questions or concerns regarding this posting, please contact Andrew Crooks at atcrooks@buffalo.edu.</p>Postdoctoral Research Position (1fte, 2 years) on Formal Models of Group Deliberation2021-07-09T14:55:44.877166+00:002021-07-09T14:55:44.908506+00:00marcojanssen/users/4/https://www.comses.net/jobs/520/<p>e are looking for a post-doctoral researcher who has experience in analytic philosophy and a background in formal modelling and/or agent-based simulations, to study norms of collective deliberation and group decision-making. This is a full-time, 2-year position at the world-known Erasmus Institute for Philosophy and Economics. Read on to learn more about the project and this call!</p>
<p>The ENCODE project: Explicating Norms for Collective Deliberation (NWO VIDI project)<br>
Deliberation is often seen as an antidote to the current crisis of democracy. People should not just vote or aggregate their opinions: they should talk, exchange arguments and preferences, and thus achieve consensus or at least mutual understanding through dialogue. But what norms should group deliberation satisfy, for it to count as democratic? What exactly can we expect from collective deliberation?</p>
<p>The ENCODE project seeks to answer these questions in exact terms. In particular, we want to study existing formal models of deliberation and develop new ones, in order to get a better understanding of the complex interactions that take place when people exchange their arguments and revise their position. The emphasis will be on philosophical logic, but we will also consider agent-based models of deliberation and decision-theoretic accounts.</p>
<p>This project is funded by the Dutch Research Council (NWO) and run by Dr. Frederik Van de Putte within the Erasmus Institute for Philosophy and Economics (EIPE), Erasmus School of Philosophy (ESPhil).</p>
<p>The Postdoctoral researcher<br>
The postdoc’s primary responsibility will be to conduct research and publish in peer reviewed journals and books. The researcher should also contribute to the ENCODE Project in other ways, such as by giving scholarly presentations and co-organizing reading groups and workshops. Furthermore, they will become part of a large and diverse community of researchers, and are expected to contribute to the Erasmus School of Philosophy’s (ESPhil) educational programme.</p>
<p>Requirements<br>
We are looking for a postdoctoral researcher who satisfies the following requirements:</p>
<p>Completed PhD in philosophy or MA in philosophy and PhD in computer science or mathematics, with demonstrable background in formal ethics, logic, decision theory, and/or agent-based modelling.<br>
(demonstrable) interest in political theory and/or the theory of group deliberation.<br>
A strong, promising track-record in terms of international publications and/or public outreach, as witnessed by CV.<br>
Excellent speaking and writing skills in English, as demonstrated by published work.<br>
An entrepreneurial and team player attitude is highly valued.<br>
Ability and willingness to contribute to development and acquisition of externally funded projects.<br>
Conceptual capacity, presenting, planning and organizing and monitoring (VSNU competencies for postdocs)</p>Research Associate: Centre for Sustainable Road Freight2021-06-29T12:29:35.182302+00:002021-06-29T12:29:35.294555+00:00c.searle/users/3201/https://www.comses.net/jobs/519/<p>The Centre for Sustainable Road Freight has over the last 7 years developed an international reputation for using large scale high fidelity computer models to understand how logistics might be organised differently. The centre has focused on solutions that will deliver net zero carbon emissions and therefore reflect the emerging energy transitions.</p>
<p>Over that period the centre has secured in excess of £3m research funding per year and developed a international network of collaborators including University of Cambridge, University of Westminster, and several internationals partners in India, China, and Africa.</p>
<p>These two Research Associate posts offer the successful candidates an outstanding opportunity to develop their research career, by engaging with a close-knit international community of researchers on a range of well-funded research projects. These are Grade 7 posts.</p>
<p>The successful candidates will report directly to the Principal investigator Prof Phil Greening and be responsible for leading the agent based modelling activity. They will be important members of the logistics modelling team and will be expected to integrate this research into the broader logistics research carried out by the centre. Whilst the initial appointment is for 24 months there are several related (funded) projects scheduled to start at the end of this project which present potential research opportunities out to 2024.</p>
<h3 id="detailed-description">Detailed Description</h3>
<p>This programme brings together teams from Herriot Watt University, the University of Cambridge, and the University of Westminster: providing a multidisciplinary focus on the research needed to enable and underpin radical measures to decarbonise the UK’s road freight transport sector.</p>
<p>The researchers are augmented by a consortium of 22 industrial partners, drawn from users, suppliers and participants in the road logistics sector. These industrial members provide advice and guidance as well as a rapid route to prototyping and implementation of solutions.</p>
<p>The first 5-year programme, conducted by the same team, laid the foundations and showed that radical measures are necessary to hit the UK Government’s CO2 reduction targets. It also showed that integration between logistics solutions, vehicle technology, and policy measures is essential. This experience has shaped the design of the proposed programme.</p>
<p>The new research programme will run for 5 years and has three themes: (i) data collection and management, (ii) logistics systems, and (iii) vehicle technology. A portfolio of 23 projects spans the themes.</p>
<p>The agent based modelling of the freight system is the central integrating element of the SRF’s five-year research programme. Almost every project in the Centre will be part of it.</p>
<h3 id="key-duties-and-responsibilities">Key Duties and Responsibilities</h3>
<p>The post holders are required to:</p>
<ul>
<li>Design, build, test and implement a sophisticated agent based model reflecting the specific nature of a sustainable cold chain</li>
<li>Design and implement a sophisticated design of experiments</li>
<li>Provide regular updates and progress reports to the project team</li>
<li>Generate academic output associated with the research activity</li>
<li>Work closely with other members of the research centre and project partners…</li>
<li>Analyse the results of the computer experiments</li>
</ul>
<h3 id="education-qualifications-and-experience">Education, Qualifications and Experience</h3>
<p><strong>Essential Criteria</strong></p>
<ul>
<li>PhD in a related subject (computer modelling of supply chains/logistics, agent based modelling, sustainable logistics, or energy transitions)</li>
<li>A good publication track record relevant to the project</li>
<li>Good data analytical skills/capability</li>
</ul>
<p><strong>Desirable Criteria</strong></p>
<ul>
<li>Good written and verbal communication skills</li>
<li>Familiarity with the challenges of the cold chain</li>
</ul>
<h3 id="how-to-apply">How to apply</h3>
<p>There are two positions at grade 7, salary £32,817. Applications can be submitted up to midnight (UK time) on 4th July 2021.</p>
<p>At Heriot-Watt University we understand that being diverse makes us better which is why we support a culture of respect and equal opportunity, and value diversity at the heart of what we do. We want to increase the diversity of our workplace to underpin a dynamic and creative environment.</p>
<p>We welcome and will consider flexible working patterns e.g. part-time working and job share options.</p>
<p>Use our total rewards calculator: <a href="https://www.hw.ac.uk/about/work/total-rewards-calculator.htm">https://www.hw.ac.uk/about/work/total-rewards-calculator.htm</a> to see the value of benefits provided by Heriot-Watt University.</p>Research Associate: Sustainable Cold-Chain project2021-06-29T12:22:32.153786+00:002021-06-29T12:22:32.628638+00:00c.searle/users/3201/https://www.comses.net/jobs/518/<h3 id="job-description">Job Description</h3>
<p>The Centre for Logistics & Sustainability at Heriot-Watt University has over the last 7 years developed an international reputation for using large scale high fidelity computer models to understand how logistics might be organised differently. The centre has focused on solutions that will deliver net zero carbon emissions and therefore reflect the emerging energy transitions</p>
<p>Over the last 7 years the centre has secured in excess of £3m research funding per year and developed a international network of collaborators including University of Cambridge, University of Westminster, and several internationals partners in India, China, and Africa.</p>
<p>This post offers the successful candidate an outstanding opportunity to develop their research career, by engaging with a close-knit international community of researchers on a range of well-funded reresearch projects</p>
<p>The Research Associate will report directly to the Principal investigator Prof Phil Greening and be responsible for leading the agent based modelling activity. They will an important member of the logistics modelling team and will be expected to integrate this research into the broader logistics research carried out by the centre. Whilst the initial appointment is for 12 months there are several related (funded) projects scheduled to start at the end of this project which present research opportunities out to 2024. This is a Grade 7 post SP32.</p>
<h3 id="detailed-description">Detailed Description</h3>
<p>The Sustainable Cold-Chain (SCC) project will bring together world leading interdisciplinary researchers working across the food cold chain sector and sustainable energy to provide a whole systems approach overseeing technology, finances, food security and sociological aspects of how we can deliver (i) demand and climate adaptation, (ii) resilience and (iii) decarbonisation of the cold-chain in the food industry simultaneously.</p>
<p>The proposed program of research will provide fundamental new knowledge to decarbonise the food cold chain and enable the UK food cold chain to decarbonise in line with Government targets by 2050. The food cold chain is complex and lacks integration between sub-sectors. Although technological issues exist, many decarbonisation issues are techno-economic or behavioural. Therefore the project will integrate technical (engineering and food quality/safety), behavioural, financial and business aspects to provide sustainable integrated solutions to the decarbonisation conundrum.</p>
<p>The team have a track record of working together in the food sector and have significant experience in each of their sectors of excellence. The successful candidate will play an important role in this team and will be expected to work closely with our partners at the university of Birmingham, London South Bank University.</p>
<h3 id="key-duties-and-responsibilities">Key Duties and Responsibilities</h3>
<p>The post holder is required to:</p>
<ul>
<li>Design, build, test and implement a sophisticated agent based model reflecting the specific nature of a sustainable cold chain</li>
<li>Design and implement a sophisticated design of experiments</li>
<li>Provide regular updates and progress reports to the project team</li>
<li>Generate academic output associated with the research activity</li>
<li>Work closely with other members of the research centre and project partners…</li>
<li>Analyse the results of the computer experiments</li>
</ul>
<h3 id="education-qualifications-and-experience">Education, Qualifications and Experience</h3>
<p>This will form the basis of the selection criteria and shortlisting. </p>
<p><strong>Essential Criteria</strong></p>
<ul>
<li>PhD in a related subject (computer modelling of supply chains/logistics, agent based modelling, sustainable logistics, or energy transitions)</li>
<li>A good publication track record relevant to the project</li>
<li>Good data analytical skills/capability</li>
</ul>
<p><strong>Desirable Criteria</strong></p>
<ul>
<li>Good written and verbal communication skills</li>
<li>Familiarity with the challenges of the cold chain</li>
</ul>
<h3 id="how-to-apply">How to apply</h3>
<p>This is a Research Associate role at Grade 7, salary maximum £38,017. Applications can be submitted up to midnight (UK time) on 4th July 2021.</p>
<p>At Heriot-Watt University we understand that being diverse makes us better which is why we support a culture of respect and equal opportunity, and value diversity at the heart of what we do. We want to increase the diversity of our workplace to underpin a dynamic and creative environment.</p>
<p>We welcome and will consider flexible working patterns e.g. part-time working and job share options.</p>
<p>Use our total rewards calculator: <a href="https://www.hw.ac.uk/about/work/total-rewards-calculator.htm">https://www.hw.ac.uk/about/work/total-rewards-calculator.htm</a> to see the value of benefits provided by Heriot-Watt University.</p>PhD Research Fellowship: modeling new aid actors in humanitarian response (Norway)2021-06-03T21:29:07.553931+00:002021-06-03T21:29:07.734293+00:00effryden/users/1451/https://www.comses.net/jobs/517/<p>A 100% position is available to pursue a PhD at the University of Agder, Faculty of Social Sciences as a PhD Research Fellow within the topic of humanitarian response and new actors, affiliated to the Department of Global Development and Planning (IGUS), for a period of three years or four years with 25% required duties. The position is located at Campus Kristiansand. The starting date is negotiable with the Faculty.</p>
<p>The PhD position will be part of an interdisciplinary research project across the social sciences (University of Agder, Norway) and modeling and simulation (Old Dominion University, USA). The topic concerns new aid actors in humanitarian response that ’pop up’ to meet emergent needs. Such actors are not new, but they are becoming increasingly influential. While some “pop-ups” are short-lived, others do develop into more permanent organisations and evolve into NGOs and INGOs. The UN has specifically acknowledged civic engagement, i.e. volunteer groups, as important stakeholders for achieving the 2030 Agenda for Sustainable Development and the 17 SDGs. It is pertinent to understand their contribution when dealing with humanitarian emergencies.</p>
<p>The ongoing project methodologically unites social science and engineering research methodologies to advance a truly interdisciplinary approach that leverages qualitative and quantitative data through computer modeling.</p>
<p>IGUS is an interdisciplinary department with 14 full-time research positions, a post-doc position, and 10 PhDs enrolled in the faculty‘s PhD programme. Members of staff are dedicated teachers and researchers working on poverty issues, various dimensions of globalisation, political economy, emergency management, climate challenges and environmental problems, development communication, migration, gender, integration, humanitarian and development actors, participatory processes, urban and regional planning and digitalisation of higher education. The specific PhD position is tied to the research cluster on Mobility, Gender and Culture.</p>PhD in computer modeling and plant development (M/F)2021-05-14T09:01:16.323364+00:002021-05-14T09:01:17.493730+00:00bashiri/users/1531/https://www.comses.net/jobs/516/<p>The successful colonization of land by plants was accompanied by the diversification of their branching architecture. Differential accumulation of the hormone auxin is a shared feature of branching control in flowering plants and mosses, which diverged from their most recent common ancestor several hundred million years ago and underwent independent diversification of their architecture. However, whilst active intercellular polar transport of auxin is crucial for flowering plant branching control, it has a comparatively minor role in the moss Physcomitrium. Our data suggest instead that diffusion through plasmodesmata is the main route for auxin movement in the regulation of moss branching. However, how this mechanism is coordinated in space and time at the tissue and whole shoot levels and contributes to the emergence of robust auxin and branch distribution patterns is unknown. Moreover, how hormonal transport has been modified in evolution to produce novel branching forms remains also elusive. The PhD student to be hired will investigate these questions using a multiscale computational modelling approach and biological experiments to perturb hormone transport.</p>Postdoc position in economic dynamics using computational agent-based models with evolving sustainability and product differentiation2021-04-20T16:22:30.440933+00:002021-04-20T16:22:30.578577+00:00marcojanssen/users/4/https://www.comses.net/jobs/515/<p>The University of Chieti-Pescara invites applications for the following postdoc position:</p>
<p>TITLE: Investigating economic dynamics using computational agent-based models with evolving sustainability and product differentiation</p>Social Systems Simulation Modeller in Aberdeen, Scotland2021-04-12T19:57:48.303373+00:002021-04-12T19:57:48.420485+00:00marcojanssen/users/4/https://www.comses.net/jobs/514/<p>A job opportunity is available working with Gary Pollhil at the James Hutton Institute in Aberdeen, on agent-based modelling in various projects with stakeholders. It is listed as a permanent position, so a real opportunity to develop your career in social simulation.</p>Research Agronomist / Soil Scientist / Agricultural Engineer at USDA Agricultural Research Service (Beltsville, Maryland, USA)2021-04-06T23:27:19.375813+00:002021-04-06T23:27:50.312535+00:00alee/users/3/https://www.comses.net/jobs/513/<p>The USDA, Agricultural Research Service, Beltsville Agricultural Research Center, Adaptive Cropping Systems Laboratory located in Beltsville, MD, is seeking a permanent full-time Research Agronomist/Soil Scientist/Agricultural Engineer. The salary for this position is $87,198.00 - $134,798.00 per year plus benefits. U.S. Citizenship is required. The mission of this unit is to apply systems theory to the solution of complex, agricultural problems and to develop computer-aided farm decision support systems and assessment tools for environmental study and analysis. The incumbent in this position will use and improve models to evaluate and assess long-term sustainability of agricultural systems and processes associated with the USDA-ARS Long-Term Agroecosystem Research (LTAR) network. The incumbent will apply crop models to address management questions around issues such as GHG emissions, weed pressure, nutrient and water management, and crop rotations. Large scale modeling and incorporation of remotely sensed data is to be investigated. The incumbent is responsible for planning research activities, reporting to customers and scientific peers, and supporting technology transfer of products developed during research. Analysis, interpretation, and dissemination of findings will be done in the form of reports, presentations and publications in scientific journals.</p>
<p>Please contact Drs. V.R. Reddy (vr.reddy@usda.gov) or David Fleisher (david.fleisher@usda.gov) for additional questions regarding this position.</p>
<p>This announcement is open from 3/18/2021 to 4/15/2021. To view the announcement and/or to apply, please go to <a href="https://www.usajobs.gov">https://www.usajobs.gov</a> and search for announcement ARS-D21Y-11054596-EL.</p>University of Bremen is looking for: Research Associate (PhD Candidate) (f/m/d) with a focus on socio-technical transition research2021-04-01T13:13:16.215560+00:002021-04-01T13:15:05.874703+00:00lwinkeler/users/3144/https://www.comses.net/jobs/512/<h1 id="advertisement-research-associate-phd-candidate-fmd">Advertisement: Research Associate (PhD Candidate) (f/m/d)</h1>
<p><strong>University of Bremen, Faculty 4 - Production Engineering</strong></p>
<p><em>Classifications E 13 - Full-time</em> <br>
Reference number: A37/21<br>
<em>Closing time: 09.04.2021</em><br>
Public advertisement</p>
<p>Do you want to work analytically and creatively in an interdisciplinary team?<br>
Do you want to develop future perspectives and put them into practice?</p>
<p>The Department of Resilient Energy Systems in the Faculty of Production Engineering - Mechanical and Process Engineering at the University of Bremen is looking for a Research Associate (f/m/d) - subject to vacancy - for the position:<br>
<strong>Research Associate (PhD Candidate) (f/m/d)<br>
(TV-L E 13)</strong><br>
(Fulltime position for 36 months)</p>
<p><strong>Job description</strong><br>
The department is looking for a qualified and motivated PhD student (f/m/d) to study socio-technical transition pathways. For example, the current early phase of the transition to a hydrogen-based industry is technologically and socially characterised by great uncertainties. There is also the question of the “right” transition path. Therefore, this work will combine socio-technical and participatory methods with modelling approaches to enable reflection on different transition paths. This will be tested exemplarily in neighbourhoods and industrial structures.<br>
The research work will therefore be located in the context of the BMBF projects “hyTracks” and „QUARREE100“. One focus of the dissertation will be socio-technical analyses and the development of suitable participatory methods to design regional transition paths for the development of the hydrogen economy. Further focal points are the development and integration of suitable methods in the field of complex decision-making and the development of a resilience monitoring approach. You will cooperate in an interdisciplinary team with economists and computer scientists to integrate your experiences and results into an interactive, agent-based modelling platform (cooperation with the Digital Media Lab & IERP, University of Bremen). With the support of interactive, media elements such as “tangible user interfaces”, this platform will allow direct interaction or reflection by the stakeholders. Approaches from innovation research will be combined with agent-based models and energy system modelling and visualised interactively for the stakeholders on the platform. Using these, solution approaches and transition paths are modelled and reflected with stakeholders along the hydrogen value chain or in the design of sustainable neighborhoods.</p>
<p><strong>Requirements</strong><br>
<em>The successful candidate is expected to have:</em><br>
• An excellent academic degree (master’s degree/university diploma) in social sciences, environmental psychology, environmental engineering or comparable fields with a socio-technical/transition background.<br>
• Professional experience (outside or inside university) in the field of participation research in the context of the transition of the energy system.<br>
• Experience in agent-based modelling.<br>
• Due to the close cooperation with local project stakeholders, a reasonable knowledge of written and spoken German is desirable (GER – B2).</p>
<p><em>Preferred qualifications include:<br>
• Knowledge of socio-technical methods. <br>
• Knowledge in the field of resilience, complex decision-making & robust decision-making Hydrogen technologies.</em></p>
<p><strong>General hints</strong> </p>
<p><em>What we offer:</em> <br>
Current and socially relevant research topics, a family-friendly, personable, interdisciplinary team and close cooperation at the University of Bremen with research groups and institutes, good networking with national & international research partners as well as with companies from the energy industry.</p>
<p><em>What we expect:</em><br>
Commitment, communication skills, ability to work in a team, independence and openness in working out socio-technical issues, creativity – i.e. “scientists who think outside the box”.</p>
<p><em>Remarks:</em><br>
The fixed-term contract is for scientific qualification according to § 2 par. 1 WissZeitVG (Wissenschaftszeitvertragsgesetz). Accordingly, only applicants who still have qualification periods to the corresponding extent according to § 2 par. 1 WissZeitVG can be considered.<br>
As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. The University of Bremen expressly invites persons with migration background to apply.</p>
<p>Deadline for the application is <strong>April 9th, 2021</strong>. Applications (cover letter outlining your motivation, CV, copy of your degree certificates) and enquiries should be directed with the <strong>reference number A37/21</strong> to:</p>
<p><strong>Dr. Torben Stührmann</strong><br>
University of Bremen<br>
FB 4 / FG Resilient Energy Systems<br>
artec | Sustainability Research Centre<br>
Enrique-Schmidt-Strasse 7<br>
28359 Bremen<br>
email: t.stuehrmann@uni<a href="http://-bremen.de">-bremen.de</a></p>PhD position: modelling behaviour in climate-related evacuations...2021-03-08T21:56:32.964066+00:002021-03-08T21:56:33.056538+00:00nanda/users/514/https://www.comses.net/jobs/511/<p>Incorporating decision-making in environmental emergencies into behavioural computational models for crisis planning<br>
<a href="https://www.sgsss.ac.uk/studentship/incorporating-decision-making/">https://www.sgsss.ac.uk/studentship/incorporating-decision-making/</a></p>
<p><strong>Abstract.</strong><br>
Environmental disasters are increasing in frequency and severity and require improved mitigation planning. Communication approaches used by first responders and governments towards affected communities impact citizen response by increasing or decreasing citizen trust and well-being. Moreover, community members may be slow to leave behind their group, and may engage in risk-taking behaviour to help others. Agent-based models (ABMs) can simulate behavioural outcomes of group decision-making in emergencies, but current evacuation models are mostly based on theoretical assumptions of behaviour rather than empirical evidence.</p>
<p>This PhD project will identify how and why citizens respond to evacuation guidance in climate-related evacuations. The student will explore decision-making by focusing on how and why citizens make decisions, such as the source of information that is judged to be most trustworthy, and what barriers and avenues exist to citizens following guidance. In Work Package 1, the student will conduct a systematic review to identify ways that previous models have formalised group behaviour in emergency response and identify key variables for their research. In Work Package 2, the student will conduct an online map-based evacuation route choice study to explore the effects of these variables on decision-making and compliance. Finally, they will develop an ABM which defines and operationalises these variables. The resulting model will serve as a hypothesis testing environment to identify how citizens react to climate-related emergencies based on empirical evidence.</p>
<p>This project will ensure the student conducts novel interdisciplinary research combining disaster management, behavioural decision making, and modelling for planning emergencies. As such, the student will develop skills in both experimental design and implementation to address human factors in emergencies, and ABMs to inform crisis planning and mitigation. Furthermore, the project will offer the student strong impact opportunities since the outputs will be of interest to both academic and non-academic stakeholders in emergency response, evacuation planning, and crisis mitigation.</p>Two Postdocs in Complexity Economics & CSS2021-03-03T10:35:52.791149+00:002021-03-03T10:36:35.258393+00:00oguerrer/users/1455/https://www.comses.net/jobs/510/<p>We are looking to hire two outstanding researchers in the overlapping fields of Complexity Economics and Computational Social Sciences with significant expertise in agent-computing modelling to join a multidisciplinary team of data scientists and expert modellers as part of an exciting project on shocks and resilience. The aim of these roles is to develop data-rich and theoretically grounded models on the economic and societal impacts of the Covid-19 pandemic as well as other types of shocks. The first postdoc will concentrate on labour market dynamics, with an emphasis on pandemic scenarios. They will work closely with an expert in epidemiological modelling. The second postdoc will investigate broader classes of shocks and their impact in various socioeconomic dimensions, for example, in financial markets, across supply chains, on the housing market, on educational outcomes, or on income inequality. Both post-holders will have experience in sourcing different types of large-scale datasets (this may include non-structured ones), pre-processing, analysing, and in coupling them with highly disaggregated computational models through adequate parameter estimation methods. Both postdocs will also engage with government stakeholders, so having some experience regarding the viability and limitations of policy interventions is ideal.</p>
<p>For further inquiries contact: Dr. Omar Guerrero (oguerrero@turing.ac.uk) or Dr. Cosmina Dorobantu (cdorobantu@turing.ac.uk).</p>Postdoc position on urban systems resilience modeling2021-01-18T04:33:59.106822+00:002021-01-18T04:33:59.237063+00:00davidyu77/users/1145/https://www.comses.net/jobs/509/<p>Dear All,</p>
<p>I would like to share about a postdoc opportunity to be based at Purdue University. </p>
<p>This is a postdoc position focusing on interdisciplinary approach to urban resilience and/or compounding disasters (preferably with systems modeling). We are open to the problem context of this theme, i.e., it can center around urban water systems, power systems, or transportation systems, etc. </p>
<p>Full info below.</p>
<hr>
<p>Post-Doctoral Position in Resilience of Social-Ecological-Technical Systems (SETS) Research</p>
<p>Overview<br>
A post-doctoral position is available at Purdue University to work with Professor Satish Ukkusuri, Professor P. Suresh C. Rao, and Professor David J. Yu beginning as early as February 2021, to work on the resilience of social-ecological-technical systems (SETS). We are interested in the resilience SETS in the context of compounding events across two or more domains. Examples of such compounding events include (1) a natural hazard (e.g., wildfire) triggering secondary technological or social disruptions that slow down recovery from the first event, (2) a biosocial disturbance (e.g., COVID-19) initiating subsequent stresses to technological or environmental systems with unforeseen feedbacks to society, and (3) a technological disruption leading to secondary social or environmental effects. Making sense out of this complexity and adaptive management of SETS require, in addition to an understanding of physical interdependencies between two or more infrastructures, analyses of “logical interdependencies” that may exist between them because of individual and collective human responses. Examples of such behavioral responses include human mobility and migration, use of private infrastructure or strategies that lessen reliance on public infrastructures, diffusion of information, social network dynamics and collective action, and rules and norms regulating key stakeholders’ decisions. The selected candidate is expected to contribute to the network systems modeling and collection and analysis of social, infrastructural, and environmental data from various sources to tackle SETS resilience problems. </p>
<p>Specific Responsibilities<br>
(1) Work in an interdisciplinary environment across engineering, social and computational sciences on developing novel ideas related to resilience<br>
(2) Lead and contribute to research in SETS<br>
(3) Write manuscripts jointly with potential to publish in interdisciplinary journals<br>
(4) Write proposals with the faculty PIs based on emerging opportunities<br>
(5) Mentor graduate students<br>
(6) Other duties as assigned</p>
<p>Qualifications<br>
This position is open to candidates from diverse disciplinary backgrounds including in civil or industrial engineering, systems/computational science, sustainability science, and related areas of the social and interdisciplinary sciences. Applicants must have completed their Ph.D. by the position start date. Prior experience with resilience research (urban resilience, social-ecological resilience, socio-technical resilience, etc.) is required with either system/network modeling or big data analysis. The successful applicant must be adept at working with multiple researchers in an interdisciplinary environment. Strong organization, communication and writing skills are also required for coordinating research with others and research dissemination. <br>
The following skills/knowledge are highly desirable: <br>
(1) Familiarity with collection and analysis of large sets of data from various sources in the applied context of urban/SETS resilience under disruptions such as wildfire, flooding, or pandemics<br>
(2) Familiarity with network or systems modeling (hybrid network analysis, agent-based modeling, or system dynamics) <br>
(3) Some level of understanding on human behavior and governance and how these can be incorporated into network/systems modeling and data analysis.<br>
(4) Ability to work across disciplines<br>
(5) Write manuscripts for an interdisciplinary audience</p>
<p>Inclusion and Equal Opportunity<br>
Purdue University is an equal access/equal opportunity university. We strongly encourage women, minorities, and people from traditionally underrepresented groups to apply. </p>
<p>Administrative Details<br>
We offer an annual salary commensurate with experience. The position is funded for up to two years with the second year contingent on satisfactory performance and the availability of funds. The preferred start date is by February 15, 2021, but this may be negotiated upon request. The postdoctoral research associate will administratively report to Dr. Satish Ukkusuri and will be advised by Drs. Satish Ukkusuri, P. Suresh C Rao, and David J. Yu, faculties in Lyles School of Civil Engineering at Purdue University. <br>
Workplace flexibility and remote work are a possibility, but the selected candidate will need to adhere to the relevant policies and restrictions of Purdue University (especially for those who are not US citizens and permanent residents). </p>
<p>To Apply<br>
Interested applicants should send their latest CV, research interests, at least two sample publications and names of 4 referees as a single PDF file to Professors Ukkusuri (sukkusur@purdue.edu), Rao (pscr@purdue.edu), and Yu (davidyu@purdue.edu). Review of applications will start on December, 2020 and will continue until the position is filled. Women and underrepresented minorities are strongly encouraged to apply. Purdue University is an equal opportunity affirmative action employer. For more information, contact the three professors above.</p>
<p>A bit about the location<br>
West Lafayette-Lafayette, Indiana is a metro area of over 174,000 people centrally located between Indianapolis, Indiana and Chicago, Illinois. It is an easy place to live with a high quality of life, good schools, safe neighborhoods, and excellent public facilities and amenities, including over 40 parks and extensive trail systems. We are home to three Farmers Markets from May to October (<a href="http://www.lafayettefarmersmarket.com/">http://www.lafayettefarmersmarket.com/</a>), year-long festivals and community events (<a href="http://www.homeofpurdue.com/events/annualevents.html">http://www.homeofpurdue.com/events/annualevents.html</a>), and Purdue Convocation, one of the oldest year-long collegiate performing arts event that have brought excellent concerts, lectures and performances to campus since 1902 (<a href="https://www.purdue.edu/convocations/">https://www.purdue.edu/convocations/</a>).</p>Post-doc position in agent-based modelling (African archaeology)2021-01-11T17:44:30.773826+00:002021-01-11T17:44:30.981062+00:00marcojanssen/users/4/https://www.comses.net/jobs/508/<p>The CoDArchLab and the Institute of Prehistoric Archaeology (African<br>
Archaeology) at the University of Cologne invite applications for a three-year post-doctoral position in agent-based modelling in archaeology. More information you can find here <a href="https://jobportal.uni-koeln.de/ausschreibung/renderFile/292?propertyName=flyer">https://jobportal.uni-koeln.de/ausschreibung/renderFile/292?propertyName=flyer</a></p>Three faculty positions and new Ph.D. program at Boston University2020-12-08T15:17:15.167327+00:002020-12-08T15:17:15.239392+00:00marcojanssen/users/4/https://www.comses.net/jobs/507/<p>Please note that Boston University has just announced that its Computing & Data Sciences Department will be hiring three new faculty positions and is now accepting applications to its new Ph.D. program.</p>
<p>The three faculty positions are wide open to computational social sciences and computational humanities. Click here for more information <a href="https://www.bu.edu/cds-faculty/join-us/faculty-positions-available/">https://www.bu.edu/cds-faculty/join-us/faculty-positions-available/</a>. Click here to apply: <a href="https://academicjobsonline.org/ajo/jobs/17169">https://academicjobsonline.org/ajo/jobs/17169</a>.</p>
<p>The Ph.D. program is an initiative of the new faculty of Computing & Data Sciences at Boston University, and is now accepting applications. For more information on how to apply click here: <a href="http://www.bu.edu/articles/2020/computing-and-data-sciences-now-accepting-phd-applications">http://www.bu.edu/articles/2020/computing-and-data-sciences-now-accepting-phd-applications</a></p>Postdoc Research Scientist @ Columbia University Earth Institute Center for Climate Systems Research2020-12-07T21:00:10.425292+00:002020-12-07T21:00:10.520275+00:00alee/users/3/https://www.comses.net/jobs/506/<p>The Columbia University Earth Institute Center for Climate Systems Research (CCSR) is seeking a Postdoctoral Research Scientist to work in the area of global crop modeling and climate change at its Morningside campus in New York City. The Postdoctoral Research Scientist will be part of an international team working to improve the responses of global crop models to atmospheric geoengineering scenarios and other perturbations including nuclear conflict or volcanic eruptions.</p>
<p>The Postdoctoral Research Scientist will help implement mechanistic processes including responses to diffuse radiation, ozone damage, and potentially UV impacts into LPJmL and if resources allow, also DSSAT. Atmospheric geoengineering implications for global crop productivity is an emerging research field and remains largely unexplored, offering excellent opportunities for high-impact publications. The work will be integrated into the AgMIP global gridded crop modeling initiative (GGCMI), a highly collaborative and active research community with international visibility.</p>
<p>The Postdoctoral Research Scientist is expected to present findings at national and/or international scientific conferences, and to prepare successful peer-reviewed publications in well-known scientific journals. The Postdoctoral Research Scientist must be a skilled crop modeler with experience in global crop impact analyses, ideally with existing experience using process-based models. Good coding skills are a requirement (e.g. C, R, Python) as is the ability to identify biophysical processes that can be implemented into the model(s).</p>
<p>This is a two year position appointed annually, contingent upon performance and funding.</p>
<p>Minimum Degree Required <br>
PhD</p>
<p>Minimum Qualifications<br>
A PhD in required in earth-system sciences, geography, physics, computer science, or related field. Experience in crop modeling, global crop impact analyses. Strong coding skills (C, R, Python) and large data handling is required.</p>
<p>Preferred Qualifications </p>
<p>The anticipated target start date for this position is December 16, 2020</p>
<p>This position is appointed annually for up to three years contingent upon performance and funding.</p>
<p>Search will remain open for at least 30 days from date of posting and will continue until the position is filled.</p>
<p>Columbia University benefits offered with this Officer of Research appointment.</p>
<p>online applications only</p>
<p>Submit your application, including a cover letter, which should detail past research experience and future interests, current CV, and the names, phone numbers and email addresses of three references.</p>Postdoc @ Institute of Crop Science and Research Conservation (University of Bonn)2020-11-25T19:56:00.932563+00:002020-11-30T20:54:35.285255+00:00alee/users/3/https://www.comses.net/jobs/505/<p>The Crop Science Group within the Institute of Crop Science and Research Conservation (INRES) at the University of Bonn is offering a Post-Doc position (E13 TV-L / 100%) for a period of up to 3 years. The Crop Science group at University of Bonn has a strong focus on developing dynamic, process based models for crop and agroecosystem management. The models are used among others to predict impacts of climate or management changes on crop production as well as eco-system services provision by agricultural land. A central tool of the research activities is the modelling platform SIMPLACE (<a href="http://simplace.net">simplace.net</a>). In addition, the group is involved in teaching within the BSc course “Agricultural Sciences” as well as several MSc courses (“Crop Science”, “Agricultural Research in the Tropics and Subtropics”, “Nature Protection and Landscape Ecology”). The Post-Doc will participate both in teaching and research activities.</p>
<p>Your tasks: </p>
<ul>
<li>Development of model sub-routines within the SIMPLACE modelling platform</li>
<li>Developing your own field of research related to model applications in cropping systems and digital agriculture</li>
<li>Quality assessment of model routines</li>
<li>Teaching in BSc and MSc courses</li>
<li>Supervising graduate and under-graduate students related to our field experiments</li>
<li>Publishing in peer reviewed journals and presentations at conferences</li>
</ul>
<p>Your profile: </p>
<ul>
<li>An excellent PhD degree in agricultural sciences, soil sciences, informatics or disciplines related to digital farming</li>
<li>Experience in developing dynamic, process-based models</li>
<li>Familiar with at least one object-oriented programming language</li>
</ul>
<p>We offer: </p>
<ul>
<li>Working at a German University of Excellence</li>
<li>An open, stimulating work environment promoting inter-disciplinary research</li>
<li>Participation in a Cluster of Excellence and in other on-going research projects</li>
<li>The opportunity of conducting innovative research in the area of agro-ecosystems modelling and digital farming</li>
<li>100% TVL E13 on the salary scale</li>
</ul>
<p>The position will be located at the University of Bonn in the West of Germany. Applicants with more than three years of experience in scientific research may be eligible for additional upgrades. Ideal starting date of the position would be February 2021.</p>
<p>The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university and aims to increase the number of women employed in areas where women are underrepresented and to promote their careers. To that end, it urges women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). </p>
<p>Applications from suitable candidates with a certified disability or equivalent status are particularly welcome. Applications (CV including diploma certificates/transcripts, list of publications, statement of research interests and achievements, addresses of two references) should be sent via E-Mail until 15 December 2020 to Dr. Thomas Gaiser and Prof. Dr. Frank Ewert (Email: tgaiser@uni<a href="http://-bonn.de">-bonn.de</a>) with all documents in one PDF file. </p>
<p>For further information concerning our research group you can visit <a href="http://www.lap.uni-bonn.de/home?set_language=en">http://www.lap.uni-bonn.de/home?set_language=en</a>.</p>Postdoc Position in Agent-Based Computer Simulation of Social-Psychological Processes2020-11-20T16:11:37.859387+00:002020-11-20T16:11:37.933633+00:00marcojanssen/users/4/https://www.comses.net/jobs/504/<p>The Chair of Applied Social- and Health Psychology, headed by Prof. Dr. Urte Scholz, in the Department of Psychology at the University of Zurich (Switzerland) is seeking a postdoctoral researcher (80%), starting 1st of May, 2021 (negotiable), in the area of agent-based computer simulation of social-psychological processes. For more information on our research, see:<br>
<a href="https://www.psychology.uzh.ch/en/areas/sob/angsoz/research.html">https://www.psychology.uzh.ch/en/areas/sob/angsoz/research.html</a>.</p>
<p>The appointment is for two years and financed by the SNSF project “Time and Ties: Dynamic modelling of temporal patterns in dyadic health behaviour change” (Prof. Dr. Urte Scholz & Dr. Robert Tobias). The project aims at developing a dynamic model of psychological and interaction processes in couples that supports the design of dyadic behaviour-change interventions.</p>
<p>Tasks:</p>
<p>Developing an agent-based model of psychological and social processes related to behaviour-change, together with psychologists who run empirical investigations in the project.<br>
Implementing this model, estimating its parameters based on empirical time-series data and run systematic analyses of the model (parameter identification, sensitivity, cross-validation, etc.).<br>
Systematically explore the solution space of the model and run scenario investigations to optimize dyadic behaviour-change interventions and design an empirical study to test the model.<br>
Support Ph.D. and master students working in the project with statistical and simulation-based analyses, including applied introductions to areas of the computer-simulation method.<br>
Writing own scientific articles / cooperating in the writing of articles of other scientists in the team and presenting own research on scientific conferences.<br>
Requirements:</p>
<p>Ph.D. in psychology or related field or related to computer simulation and system analysis (e.g., systems science, computer science, physics) with strong interest in psychological research.<br>
Certified experience with agent-based modelling and/or system analysis of computer-simulation models (e.g., parameter estimation, sensitivity analysis, scenario investigation). Ideally, the candidate has experience in analysing agent-based models based on empirical data.<br>
Willingness to adapt psychological concepts and consider empirical methods of psychology in modelling and analysis. Ideally, the candidate has already applied (agent-based) computer simulation in the field of modelling cognitive processes, decisions, or human behaviour.<br>
Knowledge of advanced statistical methods and computer management (e.g., using cloud services, such as computer clusters)<br>
Ability to perform modelling and system-analysis tasks efficiently, in a self-organized way, and self-dependently from conceptualization, over implementation, to publication.<br>
Willingness to work in a team comprising mainly psychologists.<br>
Excellent spoken and written command of English; knowledge of German is helpful, but not required.<br>
University of Zurich provides excellent working conditions and is situated in the City of Zurich renowned for its high living standard. The successful candidate will work in a small team of researchers in close collaboration, though, the University of Zurich with its over 4,000 scientists provides ample opportunities to build up connections towards almost all research fields. Salary and terms of employment are according to SNSF regulations.</p>
<p>For more information on this position, please contact Dr. Robert Tobias (robert.tobias@uzh.ch).</p>
<p>To apply, submit a cover letter describing your motivation to apply for this position and how you fulfil the above requirements. Particularly, describe in more detail your experiences in agent-based modelling and system analysis, including short summaries of the models and analyses you developed and performed, respectively. If possible, attach a selection of your articles covering these investigations to your application. Further, please provide the following documents and information:</p>
<p>Curriculum vitae (including list of own publications)<br>
Scans of your diplomas / titles<br>
At least two referees (including contact details and how these persons relate to your work)<br>
Please compile all these documents in one pdf file and send it by e-mail to Mrs. Therese Piwnik (t.piwnik@psychologie.uzh.ch) until January 15, 2021.</p>